[ Started: 2022-05-04 13:10:35 ]
RSpectra     (0.16-0       -> 0.16-1      ) [CRAN]
parallelly   (1.31.0       -> 1.31.1      ) [CRAN]
rgeos        (NA           -> 0.5-9       ) [CRAN]
sp           (NA           -> 1.4-7       ) [CRAN]
future.apply (1.8.1        -> 1.9.0       ) [CRAN]
future       (1.24.0       -> 1.25.0      ) [CRAN]
cli          (3.2.0        -> 3.3.0       ) [CRAN]
tibble       (3.1.6        -> 3.1.7       ) [CRAN]
ggplot2      (3.3.5        -> 3.3.6       ) [CRAN]
dplyr        (1.0.8        -> 1.0.9       ) [CRAN]
gplots       (3.1.1        -> 3.1.3       ) [CRAN]
httr         (1.4.2        -> 1.4.3       ) [CRAN]
ps           (1.6.0        -> 1.7.0       ) [CRAN]
knitr        (1.38         -> 1.39        ) [CRAN]
rmarkdown    (2.13         -> 2.14        ) [CRAN]
S4Vectors    (0.33.17      -> 0.34.0      ) [CRAN]
BiocGenerics (0.41.2       -> 0.42.0      ) [CRAN]
BiocParallel (1.29.21      -> 1.30.0      ) [CRAN]
IRanges      (2.29.1       -> 2.30.0      ) [CRAN]
MatrixGen... (1.7.0        -> 1.8.0       ) [CRAN]
DelayedArray (0.21.2       -> 0.22.0      ) [CRAN]
BiocNeigh... (1.13.0       -> 1.14.0      ) [CRAN]
beachmat     (2.11.0       -> 2.12.0      ) [CRAN]
ScaledMatrix (1.3.0        -> 1.4.0       ) [CRAN]
sparseMat... (1.7.0        -> 1.8.0       ) [CRAN]
limma        (3.51.8       -> 3.52.0      ) [CRAN]
zlibbioc     (1.41.0       -> 1.42.0      ) [CRAN]
Biobase      (2.55.2       -> 2.56.0      ) [CRAN]
XVector      (0.35.0       -> 0.36.0      ) [CRAN]
GenomeInfoDb (1.31.7       -> 1.32.1      ) [CRAN]
DelayedMa... (1.17.0       -> 1.18.0      ) [CRAN]
Summarize... (1.25.3       -> 1.26.1      ) [CRAN]
GenomicRa... (1.47.6       -> 1.48.0      ) [CRAN]
SingleCel... (1.17.2       -> 1.18.0      ) [CRAN]
SeuratObject (4.0.4        -> 4.1.0       ) [CRAN]
leiden       (0.3.9        -> 0.3.10      ) [CRAN]
BiocManager  (1.30.16      -> 1.30.17     ) [CRAN]
BiocSingular (1.11.0       -> 1.12.0      ) [CRAN]
scuttle      (1.5.2        -> 1.6.0       ) [CRAN]
metapod      (1.3.0        -> 1.4.0       ) [CRAN]
bluster      (1.5.1        -> 1.6.0       ) [CRAN]
edgeR        (3.37.1       -> 3.38.0      ) [CRAN]
checkmate    (2.0.0        -> 2.1.0       ) [CRAN]
Seurat       (4.1.0        -> 4.1.1       ) [CRAN]
testthat     (3.1.3        -> 3.1.4       ) [CRAN]
markdown     (NA           -> 1.1         ) [CRAN]
BiocStyle    (2.23.1       -> 2.24.0      ) [CRAN]
ComplexHe... (2.11.1       -> 2.12.0      ) [CRAN]
scater       (1.23.6       -> 1.24.0      ) [CRAN]
scran        (1.23.1       -> 1.24.0      ) [CRAN]
OmnipathR    (178582759... -> 948e10ab7...) [GitHub]
Installing 50 packages: RSpectra, parallelly, rgeos, sp, future.apply, future, cli, tibble, ggplot2, dplyr, gplots, httr, ps, knitr, rmarkdown, S4Vectors, BiocGenerics, BiocParallel, IRanges, MatrixGenerics, DelayedArray, BiocNeighbors, beachmat, ScaledMatrix, sparseMatrixStats, limma, zlibbioc, Biobase, XVector, GenomeInfoDb, DelayedMatrixStats, SummarizedExperiment, GenomicRanges, SingleCellExperiment, SeuratObject, leiden, BiocManager, BiocSingular, scuttle, metapod, bluster, edgeR, checkmate, Seurat, testthat, markdown, BiocStyle, ComplexHeatmap, scater, scran
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* installing *source* package ‘RSpectra’ ...
** package ‘RSpectra’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c eigs_gen.cpp -o eigs_gen.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/RealShift_matrix.h:37:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:30:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from ‘class Eigen::MappedSparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54:   required from ‘class Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:20:16:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >’
../inst/include/RMatOp/ComplexShift_matrix.h:46:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
../inst/include/RMatOp/ComplexShift_matrix.h:48:50:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:54:76:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/SVDOp.h:58:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:124:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:118:26:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
../inst/include/Spectra/LinAlg/Arnoldi.h:165:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/Spectra/LinAlg/Arnoldi.h:166:56:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Spectra/LinAlg/Arnoldi.h:182:28:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:182:48:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
../inst/include/Spectra/LinAlg/Arnoldi.h: In instantiation of ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’:
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:216:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; PlainObjectType = Eigen::Matrix<double, -1, 1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
  216 |     EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/GenEigsBase.h:21,
                 from ../inst/include/Spectra/GenEigsSolver.h:12,
                 from ../inst/include/GenEigs.h:5,
                 from eigs_gen.cpp:2:
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:129:73: note:   initializing argument 3 of ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  129 |     void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref<Vector> res) const
      |                                                      ~~~~~~~~~~~~~~~~~~~^~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:40:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
../inst/include/Spectra/LinAlg/Arnoldi.h:208:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:208:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:209:55:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from ‘class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from ‘class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:37:30:   required from ‘class Spectra::UpperHessenbergEigen<double>’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >’
../inst/include/Spectra/GenEigsBase.h:147:67:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:373:21:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/GenEigsBase.h:147:28:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:373:21:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Spectra/GenEigsBase.h:147:28:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:373:21:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Spectra/GenEigsBase.h:147:28:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:373:21:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/GenEigsBase.h:148:60:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:373:21:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, -1>’
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:38:14:   required from ‘class Spectra::DoubleShiftQR<double>’
../inst/include/Spectra/GenEigsBase.h:98:31:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/GenEigsBase.h:118:17:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
../inst/include/Spectra/GenEigsBase.h:118:17:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
../inst/include/Spectra/GenEigsBase.h: In instantiation of ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’:
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:209:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(Eigen::PlainObjectBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix<double, -1, -1>; PlainObjectType = Eigen::Matrix<double, -1, -1>; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Matrix<double, -1, -1>]’
  209 |     EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/GenEigsBase.h:23,
                 from ../inst/include/Spectra/GenEigsSolver.h:12,
                 from ../inst/include/GenEigs.h:5,
                 from eigs_gen.cpp:2:
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:360:33: note:   initializing argument 1 of ‘void Spectra::DoubleShiftQR<Scalar>::apply_YQ(Spectra::DoubleShiftQR<Scalar>::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR<Scalar>::GenericMatrix = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  360 |     void apply_YQ(GenericMatrix Y) const
      |                   ~~~~~~~~~~~~~~^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:74:30:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:177:17:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:369:13:   required from ‘void Spectra::DoubleShiftQR<Scalar>::apply_YQ(Spectra::DoubleShiftQR<Scalar>::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR<Scalar>::GenericMatrix = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:118:17:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:369:13:   required from ‘void Spectra::DoubleShiftQR<Scalar>::apply_YQ(Spectra::DoubleShiftQR<Scalar>::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR<Scalar>::GenericMatrix = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:118:17:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:57:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Spectra/LinAlg/Arnoldi.h:271:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:271:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:29:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:70:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:51:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:20:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:63:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:122:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:107:9:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:132:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:220:45:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:47:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:124:13:   required from ‘void Spectra::DoubleShiftQR<Scalar>::update_block(Spectra::DoubleShiftQR<Scalar>::Index, Spectra::DoubleShiftQR<Scalar>::Index) [with Scalar = double; Spectra::DoubleShiftQR<Scalar>::Index = long int]’
../inst/include/Spectra/LinAlg/DoubleShiftQR.h:329:13:   required from ‘void Spectra::DoubleShiftQR<Scalar>::compute(Spectra::DoubleShiftQR<Scalar>::ConstGenericMatrix&, const Scalar&, const Scalar&) [with Scalar = double; Spectra::DoubleShiftQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:115:17:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:34:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:125:23:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:135:20:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:18:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:18:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:57:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:35:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:102:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:113:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:77:28:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:193:53:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:147:18:   required from ‘void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:296:17:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::ComplexMatrix Spectra::UpperHessenbergEigen<Scalar>::eigenvectors() [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:190:23:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:42:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:182:38:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Arnoldi.h:209:20:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:220:22:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:365:71:   required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:510:26:   required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Eigen::RealSchur<_MatrixType>::Index, Eigen::RealSchur<_MatrixType>::Index, Eigen::RealSchur<_MatrixType>::Index, bool, const Vector3s&, Eigen::RealSchur<_MatrixType>::Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Vector3s = Eigen::Matrix<double, 3, 1>; typename MatrixType::Scalar = double; Eigen::RealSchur<_MatrixType>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:530:24:   required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Eigen::RealSchur<_MatrixType>::Index, Eigen::RealSchur<_MatrixType>::Index, Eigen::RealSchur<_MatrixType>::Index, bool, const Vector3s&, Eigen::RealSchur<_MatrixType>::Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Vector3s = Eigen::Matrix<double, 3, 1>; typename MatrixType::Scalar = double; Eigen::RealSchur<_MatrixType>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:33:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:271:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/GenEigsBase.h:137:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:378:13:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:18:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:18:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:77:28:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:77:28:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::doComputeEigenvectors() [with Scalar = double]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:628:36: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  628 |   typedef DoublePacket<RealPacket> DoublePacketType;
      |                                    ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:630:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  630 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:631:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  631 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:633:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  633 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:412:5:   required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Eigen::RealSchur<_MatrixType>::Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:413:5:   required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Eigen::RealSchur<_MatrixType>::Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                     ^~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:125:23:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:135:20:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:327:9:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:84:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:84:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:371,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1000:13:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:694:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  694 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1558:15:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:699:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  699 |     dest = ploadu<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:365:10:   required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, std::complex<double>, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:106:40:   required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = std::complex<double>; int KcFactor = 1; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:301:81:   required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = std::complex<double>; int KcFactor = 1; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:353:66:   required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = std::complex<double>; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:485:18:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; int Options = 0; Scalar = std::complex<double>; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; Func = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; ExpressionType = Eigen::Matrix<std::complex<double>, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/GenEigsBase.h:462:23:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:472:34:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:778:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  778 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<std::complex<double>, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:870:45:   required from ‘struct Eigen::internal::gebp_kernel<double, std::complex<double>, long int, Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>, 2, 4, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = std::complex<double>; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, std::complex<double>, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<std::complex<double>, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, std::complex<double>, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; int Options = 0; Scalar = std::complex<double>; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; Func = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; ExpressionType = Eigen::Matrix<std::complex<double>, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/GenEigsBase.h:462:23:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:472:34:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:498:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  498 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:197:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:367:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Dest = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; int Options = 0; Scalar = std::complex<double>; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; Func = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; ExpressionType = Eigen::Matrix<std::complex<double>, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/GenEigsBase.h:462:23:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:472:34:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; int Options = 0; Scalar = std::complex<double>; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; Func = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; ExpressionType = Eigen::Matrix<std::complex<double>, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/GenEigsBase.h:462:23:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:472:34:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, std::complex<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<std::complex<double>, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<std::complex<double>, -1, -1>; int Options = 0; Scalar = std::complex<double>; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; Func = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<std::complex<double>, -1, -1>, 0>; ExpressionType = Eigen::Matrix<std::complex<double>, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/GenEigsBase.h:462:23:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/GenEigsBase.h:472:34:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::ComplexMatrix = Eigen::Matrix<std::complex<double>, -1, -1>]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:40:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:40:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:40:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:40:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:28:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:40:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:341:9:   required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9:   required from ‘void Spectra::UpperHessenbergEigen<Scalar>::compute(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9:   required from ‘Spectra::UpperHessenbergEigen<Scalar>::UpperHessenbergEigen(Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/GenEigsBase.h:188:38:   required from ‘void Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/GenEigsBase.h:368:9:   required from ‘Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_gen.cpp:88:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_gen.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:88:55:   required from ‘void Spectra::GenEigsComplexShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 6; OpType = ComplexShift]’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:53:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:88:55:   required from ‘void Spectra::GenEigsComplexShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 6; OpType = ComplexShift]’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:53:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:89:55:   required from ‘void Spectra::GenEigsComplexShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 6; OpType = ComplexShift]’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:53:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:89:55:   required from ‘void Spectra::GenEigsComplexShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 6; OpType = ComplexShift]’
../inst/include/Spectra/GenEigsComplexShiftSolver.h:53:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c eigs_sym.cpp -o eigs_sym.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/RealShift_matrix.h:37:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:30:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from ‘class Eigen::MappedSparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54:   required from ‘class Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:20:16:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >’
../inst/include/RMatOp/ComplexShift_matrix.h:46:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
../inst/include/RMatOp/ComplexShift_matrix.h:48:50:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:54:76:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/SVDOp.h:58:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:124:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:118:26:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
../inst/include/Spectra/LinAlg/Lanczos.h:78:41:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/Spectra/LinAlg/Lanczos.h:79:56:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:96:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:112:55:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Lanczos.h:112:39:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Spectra/LinAlg/Lanczos.h:114:59:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:59:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:39:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:80:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
../inst/include/Spectra/LinAlg/Lanczos.h: In instantiation of ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’:
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:216:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  216 |     EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/SymEigsBase.h:20,
                 from ../inst/include/Spectra/SymEigsSolver.h:12,
                 from ../inst/include/SymEigs.h:5,
                 from eigs_sym.cpp:2:
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:129:73: note:   initializing argument 3 of ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  129 |     void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref<Vector> res) const
      |                                                      ~~~~~~~~~~~~~~~~~~~^~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Spectra/LinAlg/Lanczos.h:123:55:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/Lanczos.h:141:41:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Spectra/SymEigsBase.h:185:41:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Spectra/SymEigsBase.h:115:61:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
../inst/include/Spectra/SymEigsBase.h:115:67:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/SymEigsBase.h:115:28:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Spectra/SymEigsBase.h:115:28:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Spectra/SymEigsBase.h:115:28:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/SymEigsBase.h:116:61:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/SymEigsBase.h:98:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
../inst/include/Spectra/SymEigsBase.h:98:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
../inst/include/Spectra/SymEigsBase.h: In instantiation of ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’:
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:209:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(Eigen::PlainObjectBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix<double, -1, -1>; PlainObjectType = Eigen::Matrix<double, -1, -1>; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Matrix<double, -1, -1>]’
  209 |     EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/SymEigsBase.h:21,
                 from ../inst/include/Spectra/SymEigsSolver.h:12,
                 from ../inst/include/SymEigs.h:5,
                 from eigs_sym.cpp:2:
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:396:33: note:   initializing argument 1 of ‘void Spectra::UpperHessenbergQR<Scalar>::apply_YQ(Spectra::UpperHessenbergQR<Scalar>::GenericMatrix) const [with Scalar = double; Spectra::UpperHessenbergQR<Scalar>::GenericMatrix = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  396 |     void apply_YQ(GenericMatrix Y) const
      |                   ~~~~~~~~~~~~~~^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Spectra/SymEigsBase.h:430:42:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/SymEigsBase.h:287:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:288:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:74:30:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:43:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:540:28:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:57:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:271:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:29:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:70:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:51:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:20:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:63:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:122:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:73:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:73:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:134:65:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:135:67:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:146:48:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:147:49:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:656:26:   required from ‘void Spectra::TridiagQR<Scalar>::matrix_QtHQ(Spectra::TridiagQR<Scalar>::Matrix&) const [with Scalar = double; Spectra::TridiagQR<Scalar>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:162:9:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::compress_H(const Spectra::TridiagQR<Scalar>&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>]’
../inst/include/Spectra/SymEigsBase.h:102:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:34:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:125:23:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:135:20:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:61:92:   required from ‘Eigen::ArrayWrapper<ExpressionType>::ArrayWrapper(ExpressionType&) [with ExpressionType = const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:320:100:   required from ‘const Eigen::ArrayWrapper<const Derived> Eigen::MatrixBase<Derived>::array() const [with Derived = Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:42:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:114:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Lanczos.h:123:20:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Spectra/LinAlg/TridiagEigen.h:103:17:   required from ‘static void Spectra::TridiagEigen<Scalar>::tridiagonal_qr_step(Spectra::TridiagEigen<Scalar>::RealScalar*, Spectra::TridiagEigen<Scalar>::RealScalar*, Spectra::TridiagEigen<Scalar>::Index, Spectra::TridiagEigen<Scalar>::Index, Scalar*, Spectra::TridiagEigen<Scalar>::Index) [with Scalar = double; Spectra::TridiagEigen<Scalar>::RealScalar = double; Spectra::TridiagEigen<Scalar>::Index = long int]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:186:32:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:185:41:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:33:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:103:17:   required from ‘static void Spectra::TridiagEigen<Scalar>::tridiagonal_qr_step(Spectra::TridiagEigen<Scalar>::RealScalar*, Spectra::TridiagEigen<Scalar>::RealScalar*, Spectra::TridiagEigen<Scalar>::Index, Spectra::TridiagEigen<Scalar>::Index, Scalar*, Spectra::TridiagEigen<Scalar>::Index) [with Scalar = double; Spectra::TridiagEigen<Scalar>::RealScalar = double; Spectra::TridiagEigen<Scalar>::Index = long int]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:186:32:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:628:36: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  628 |   typedef DoublePacket<RealPacket> DoublePacketType;
      |                                    ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:630:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  630 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:631:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  631 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:633:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  633 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                     ^~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:125:23:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:135:20:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:371,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1000:13:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:694:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  694 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1558:15:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:699:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  699 |     dest = ploadu<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:20:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
../inst/include/Spectra/LinAlg/Lanczos.h:79:9:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:440:34:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
eigs_sym.cpp:85:5:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from eigs_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
../inst/include/Spectra/SymEigsShiftSolver.h:170:44:   required from ‘void Spectra::SymEigsShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 8; OpType = RealShift]’
../inst/include/Spectra/SymEigsShiftSolver.h:168:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/SymEigsShiftSolver.h:170:89:   required from ‘void Spectra::SymEigsShiftSolver<Scalar, SelectionRule, OpType>::sort_ritzpair(int) [with Scalar = double; int SelectionRule = 8; OpType = RealShift]’
../inst/include/Spectra/SymEigsShiftSolver.h:168:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:40:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, RealShift, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, RealShift, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, RealShift, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = RealShift]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, RealShift, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = RealShift]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, RealShift, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c is_sym.cpp -o is_sym.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
is_sym.cpp:11:14:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
is_sym.cpp:11:14:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
is_sym.cpp:11:14:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
is_sym.cpp:44:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from is_sym.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::Index = long int]’
is_sym.cpp:21:44:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::Index = long int]’
is_sym.cpp:21:44:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c matops.cpp -o matops.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/RealShift_matrix.h:37:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:30:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from ‘class Eigen::MappedSparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54:   required from ‘class Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:20:16:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >’
../inst/include/RMatOp/ComplexShift_matrix.h:46:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
../inst/include/RMatOp/ComplexShift_matrix.h:48:50:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:54:76:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/SVDOp.h:58:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:124:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:20:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:63:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:122:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:34:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:396:31:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:628:36: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  628 |   typedef DoublePacket<RealPacket> DoublePacketType;
      |                                    ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:630:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  630 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:631:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  631 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:633:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  633 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                     ^~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:371,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1000:13:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:694:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  694 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1558:15:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:699:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  699 |     dest = ploadu<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Dest = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<std::complex<double>, 0> >, Eigen::Matrix<std::complex<double>, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<std::complex<double>, 0> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<std::complex<double>, 0> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<std::complex<double>, 0> >, Eigen::Matrix<std::complex<double>, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<std::complex<double>, 0> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:56:49:   required from ‘void ComplexShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:52:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:35:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
../inst/include/RMatOp/RealShift_sparseMatrix.h:34:15:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from ‘struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> >, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:35:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 0]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 0]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:39:72:   required from ‘void MatProd_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:33:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:41:72:   required from ‘void MatProd_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:33:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:27:   required from ‘void MatProd_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:32:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::SparseMatrix<double, 1> >, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39:   required from ‘void MatProd_sparseMatrix<Storage>::perform_tprod(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:39:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39:   required from ‘void MatProd_sparseMatrix<Storage>::perform_tprod(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:39:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:39:72:   required from ‘void MatProd_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 0]’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:33:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:41:72:   required from ‘void MatProd_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 0]’
../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:33:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:27:   required from ‘void MatProd_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 0]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:32:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39:   required from ‘void MatProd_sparseMatrix<Storage>::perform_tprod(const double*, double*) [with int Storage = 0]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:39:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39:   required from ‘void MatProd_sparseMatrix<Storage>::perform_tprod(const double*, double*) [with int Storage = 0]’
../inst/include/RMatOp/MatProd_sparseMatrix.h:39:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:57:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 1> > >, Eigen::internal::IteratorBased, std::complex<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 1> > >; _Scalar = std::complex<double>; int _Options = 1; _StorageIndex = int]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:38:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:749:14:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = std::complex<double>; int _Options = 1; _StorageIndex = int]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:42:9:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:57:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, std::complex<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; _Scalar = std::complex<double>; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:38:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 0]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:495:54:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:345:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:65:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:495:54:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:345:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:65:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 0]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<int, -1, 1>, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:622:32:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:624:30:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:624:30:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:624:30:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h: In instantiation of ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:216:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<int, -1, 1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Block<Eigen::Matrix<int, -1, 1>, -1, 1, false>]’
  216 |     EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
      |                              ^~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseLU:39,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_dfs.h:94:70: note:   initializing argument 6 of ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_dfs(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::Index, Eigen::Index&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = std::complex<double>; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<std::complex<double>, -1, 1> >]’
   94 |                                                     BlockIndexVector lsub_col, IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune,
      |                                                     ~~~~~~~~~~~~~~~~~^~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:633:33:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h: In instantiation of ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:216:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  216 |     EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
      |                              ^~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseLU:40,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:53:108: note:   initializing argument 3 of ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
   53 | Index SparseLUImpl<Scalar,StorageIndex>::column_bmod(const Index jcol, const Index nseg, BlockScalarVector dense, ScalarVector& tempv,
      |                                                                                          ~~~~~~~~~~~~~~~~~~^~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, long int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1080:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1081:19:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::SparseMatrix<double, 1> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, long int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1080:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 0]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1081:19:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 0]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:386:42:   required from ‘Derived& Eigen::DenseBase<Derived>::setLinSpaced(Eigen::Index, const Scalar&, const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:406:40:   required from ‘Derived& Eigen::DenseBase<Derived>::setLinSpaced(const Scalar&, const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:749:7:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = std::complex<double>; int _Options = 1; _StorageIndex = int]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:42:9:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<std::complex<double>, 0>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:535:9:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<int, -1, 1>; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:556:3:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:9:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 0, int>, 5, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58:   required from ‘class Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:170:29:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:46:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:46:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double, 0, int>, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44:   required from ‘struct Eigen::internal::traits<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:176:29:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:176:29:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:179:23:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 9>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:38:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:38:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:238:48:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14:   required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:65:42:   required from ‘void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, Eigen::AMDOrdering<StorageIndex>::PermutationType&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; StorageIndex = int; Eigen::AMDOrdering<StorageIndex>::PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:663:15:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, Eigen::SimplicialCholeskyBase<Derived>::CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; Eigen::SimplicialCholeskyBase<Derived>::MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::SimplicialCholeskyBase<Derived>::ConstCholMatrixPtr = const Eigen::SparseMatrix<double, 0, int>*; Eigen::SimplicialCholeskyBase<Derived>::CholMatrixType = Eigen::SparseMatrix<double, 0, int>; typename Eigen::internal::traits<T>::MatrixType::StorageIndex = int; typename Eigen::internal::traits<T>::MatrixType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:200:7:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; Eigen::SimplicialCholeskyBase<Derived>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:463:35:   required from ‘Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:39:20:   required from ‘void RealShift_sym_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:34:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:151:7:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:750:11:   required from ‘void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:234:7:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:275:11:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:233:7:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:279:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:233:7:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<std::complex<double>, 0>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:535:9:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<std::complex<double>, 0>]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16:   required from ‘void ComplexShift_sparseMatrix<Storage>::set_shift(double, double) [with int Storage = 1]’
../inst/include/RMatOp/ComplexShift_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<int, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<int, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Matrix<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:467:9:   required from ‘void Eigen::internal::permute_symm_to_fullsymm(const MatrixType&, Eigen::SparseMatrix<typename MatrixType::Scalar, DestOrder, typename MatrixType::StorageIndex>&, const typename MatrixType::StorageIndex*) [with int Mode = 1; MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 1> >; int DestOrder = 0; typename MatrixType::StorageIndex = int; typename MatrixType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:231:57:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::SparseSelfAdjoint2Sparse>::run(Eigen::SparseMatrix<DestScalar, StorageOrder, typename DstXprType::StorageIndex>&, const SrcXprType&, const AssignOpType&) [with DestScalar = double; int StorageOrder = 0; DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::StorageIndex = int; Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::SparseSelfAdjoint2Sparse>::AssignOpType = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SparseSelfAdjointView<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>; Derived = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:701:22:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseSelfAdjointView<OtherDerived, UpLo>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 1> >; unsigned int UpLo = 1; _Scalar = double; int _Options = 0; _StorageIndex = int]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:39:13:   required from ‘void RealShift_sym_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:34:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:962:59:   required from ‘struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, false, Eigen::DenseShape>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; int Options = 2; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:962:59:   required from ‘struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, true, Eigen::DenseShape>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1042:71:   required from ‘static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; int Options = 2; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 2>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:238:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:179:14:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from ‘Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional<Eigen::Matrix<RhsScalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:635:31:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:238:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:92:   required from ‘static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:92:   required from ‘static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:92:   required from ‘static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:92:   required from ‘static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:92:   required from ‘static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from matops.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:179:14:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21:   required from ‘void RealShift_sym_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:45:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:230:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:238:18:   required from ‘bool Eigen::SparseLU<_MatrixType, _OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21:   required from ‘void RealShift_sparseMatrix<Storage>::perform_op(const double*, double*) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:41:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from ‘static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from ‘void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector&, Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::ScalarVector = Eigen::Matrix<double, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:613:21:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:129:7:   required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; _OrderingType = Eigen::COLAMDOrdering<int>; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix<double, 0, int>]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16:   required from ‘void RealShift_sparseMatrix<Storage>::set_shift(double) [with int Storage = 1]’
../inst/include/RMatOp/RealShift_sparseMatrix.h:31:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c register_routines.c -o register_routines.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DUSE_FC_LEN_T -I../inst/include -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c svds.cpp -o svds.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/MatProd_sparseMatrix.h:36:10:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1> >’
../inst/include/RMatOp/SparseMatrixMapping.h:25:103:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:16:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
../inst/include/RMatOp/RealShift_matrix.h:31:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/RealShift_matrix.h:37:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:30:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from ‘class Eigen::MappedSparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54:   required from ‘class Eigen::SparseLU<Eigen::SparseMatrix<double, 0, int> >’
../inst/include/RMatOp/RealShift_sparseMatrix.h:20:16:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from ‘class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from ‘class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, 1> >’
../inst/include/RMatOp/ComplexShift_matrix.h:46:22:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::Matrix<std::complex<double>, -1, 1> > >’
../inst/include/RMatOp/ComplexShift_matrix.h:48:50:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:54:76:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
../inst/include/RMatOp/SVDOp.h:58:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:63:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:65:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/RMatOp/SVDOp.h:124:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
svds.cpp:140:12:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
svds.cpp:165:24:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
svds.cpp:165:32:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
svds.cpp:165:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
svds.cpp:167:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
svds.cpp:167:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
svds.cpp:179:71:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
svds.cpp:179:71:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
svds.cpp:179:71:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Eigen::ArrayBase<Derived>::Scalar = double]’
../inst/include/RMatOp/RealShift_sym_matrix.h:40:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
../inst/include/Spectra/SymEigsBase.h:425:48:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
../inst/include/Spectra/SymEigsBase.h:430:42:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
../inst/include/Spectra/LinAlg/Lanczos.h:78:41:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
../inst/include/Spectra/LinAlg/Lanczos.h:79:56:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:96:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:112:55:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Lanczos.h:112:39:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:59:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:39:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Lanczos.h:114:80:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
../inst/include/Spectra/LinAlg/Lanczos.h: In instantiation of ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’:
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:216:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  216 |     EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/SymEigsBase.h:20,
                 from ../inst/include/Spectra/SymEigsSolver.h:12,
                 from ../inst/include/SymEigs.h:5,
                 from svds.cpp:2:
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:129:73: note:   initializing argument 3 of ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  129 |     void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref<Vector> res) const
      |                                                      ~~~~~~~~~~~~~~~~~~~^~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Spectra/LinAlg/Lanczos.h:123:55:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/Lanczos.h:141:41:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
../inst/include/Spectra/SymEigsBase.h:115:61:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
../inst/include/Spectra/SymEigsBase.h:115:67:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/SymEigsBase.h:115:28:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
../inst/include/Spectra/SymEigsBase.h:115:28:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/SymEigsBase.h:116:61:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:341:21:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
../inst/include/Spectra/SymEigsBase.h:98:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
../inst/include/Spectra/SymEigsBase.h:98:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:476,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
../inst/include/Spectra/SymEigsBase.h: In instantiation of ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’:
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:209:30: note:   after user-defined conversion: ‘Eigen::Ref<PlainObjectType, Options, StrideType>::Ref(Eigen::PlainObjectBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix<double, -1, -1>; PlainObjectType = Eigen::Matrix<double, -1, -1>; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<PlainObjectType, RefOptions, StrideType> >::match<Derived>::MatchAtCompileTime), Derived>::type = Eigen::Matrix<double, -1, -1>]’
  209 |     EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase<Derived>& expr,
      |                              ^~~
In file included from ../inst/include/Spectra/SymEigsBase.h:21,
                 from ../inst/include/Spectra/SymEigsSolver.h:12,
                 from ../inst/include/SymEigs.h:5,
                 from svds.cpp:2:
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:396:33: note:   initializing argument 1 of ‘void Spectra::UpperHessenbergQR<Scalar>::apply_YQ(Spectra::UpperHessenbergQR<Scalar>::GenericMatrix) const [with Scalar = double; Spectra::UpperHessenbergQR<Scalar>::GenericMatrix = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  396 |     void apply_YQ(GenericMatrix Y) const
      |                   ~~~~~~~~~~~~~~^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
svds.cpp:167:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
svds.cpp:179:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43:   required from ‘struct Eigen::internal::partial_lu_impl<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:118:26:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:126:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:31:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:74:30:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:43:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:540:28:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:57:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:271:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:29:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:70:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
../inst/include/Spectra/LinAlg/Arnoldi.h:274:51:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:20:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:63:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/RMatOp/SVDOp.h:122:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/SymEigsBase.h:287:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:288:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:73:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Arnoldi.h:73:13:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::expand_basis(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Vector = Eigen::Matrix<double, -1, 1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:90:17:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:134:65:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215> >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:135:67:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:146:48:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
../inst/include/Spectra/LinAlg/TridiagEigen.h:147:49:   required from ‘void Spectra::TridiagEigen<Scalar>::compute(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9:   required from ‘Spectra::TridiagEigen<Scalar>::TridiagEigen(Spectra::TridiagEigen<Scalar>::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:148:30:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:336:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:656:26:   required from ‘void Spectra::TridiagQR<Scalar>::matrix_QtHQ(Spectra::TridiagQR<Scalar>::Matrix&) const [with Scalar = double; Spectra::TridiagQR<Scalar>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:162:9:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::compress_H(const Spectra::TridiagQR<Scalar>&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>]’
../inst/include/Spectra/SymEigsBase.h:102:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
svds.cpp:179:53:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:34:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:21:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<std::complex<double> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Lanczos.h:107:27:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Lanczos.h:116:20:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:61:92:   required from ‘Eigen::ArrayWrapper<ExpressionType>::ArrayWrapper(ExpressionType&) [with ExpressionType = const Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:320:100:   required from ‘const Eigen::ArrayWrapper<const Derived> Eigen::MatrixBase<Derived>::array() const [with Derived = Eigen::Diagonal<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51:   required from ‘void Spectra::TridiagQR<Scalar>::compute(Spectra::TridiagQR<Scalar>::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR<Scalar>::ConstGenericMatrix = const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 0>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
../inst/include/Spectra/SymEigsBase.h:95:13:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:425:48:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:28:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::ArrayBase<Derived>::Scalar = double]’
svds.cpp:167:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/RMatOp/SVDOp.h:58:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Lanczos.h:123:20:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Arnoldi.h:269:33:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Matrix = Eigen::Matrix<double, -1, -1>]’
../inst/include/Spectra/SymEigsBase.h:105:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::restart(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:346:13:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
svds.cpp:167:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:380:13:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
../inst/include/Spectra/LinAlg/Arnoldi.h:130:42:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:628:36: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  628 |   typedef DoublePacket<RealPacket> DoublePacketType;
      |                                    ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:630:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  630 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:631:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  631 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:633:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  633 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                     ^~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Lanczos.h:107:27:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Lanczos.h:116:20:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:371,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1000:13:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:694:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  694 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex<double>; Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket = __vector(2) double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1558:15:   required from ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = std::complex<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = std::complex<double>; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<std::complex<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex<double>; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<std::complex<double>, -1, -1>; _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]’
../inst/include/RMatOp/ComplexShift_matrix.h:38:28:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:699:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  699 |     dest = ploadu<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:110:22:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::init(Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec&, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::MapConstVec = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:297:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init(const Scalar*) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
../inst/include/Spectra/SymEigsBase.h:311:9:   required from ‘void Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::init() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’
svds.cpp:30:15:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:20:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
../inst/include/Spectra/LinAlg/Lanczos.h:79:9:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/LinAlg/Lanczos.h:141:35:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; typename Dest::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23:   required from ‘void Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::trans_product(const Arg1&, const Arg2&, Eigen::Ref<Eigen::Matrix<Scalar, -1, 1> >) const [with Arg1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix<double, -1, 1>; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional<Eigen::Matrix<Scalar, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
../inst/include/Spectra/LinAlg/Lanczos.h:122:13:   required from ‘void Spectra::Lanczos<Scalar, ArnoldiOpType>::factorize_from(Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index, Spectra::Lanczos<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Lanczos<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/SymEigsBase.h:335:9:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::compute(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:31:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
../inst/include/Spectra/SymEigsBase.h:430:23:   required from ‘Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::eigenvectors(Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Matrix = Eigen::Matrix<double, -1, -1>; Spectra::SymEigsBase<Scalar, SelectionRule, OpType, BOpType>::Index = long int]’
svds.cpp:136:63:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11:   required from ‘void Eigen::PartialPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
../inst/include/RMatOp/RealShift_matrix.h:39:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23:   required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31:   required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7:   required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
../inst/include/RMatOp/RealShift_matrix.h:31:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from svds.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:40:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> >’
../inst/include/Spectra/LinAlg/Arnoldi.h:200:35:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
../inst/include/Spectra/LinAlg/Arnoldi.h:227:41:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23:   required from ‘Scalar Spectra::ArnoldiOp<Scalar, OpType, Spectra::IdentityBOp>::norm(const Arg&) [with Arg = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double; OpType = MatProd]’
../inst/include/Spectra/LinAlg/Arnoldi.h:203:39:   required from ‘void Spectra::Arnoldi<Scalar, ArnoldiOpType>::factorize_from(Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index, Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp<double, MatProd, Spectra::IdentityBOp>; Spectra::Arnoldi<Scalar, ArnoldiOpType>::Index = long int]’
../inst/include/Spectra/LinAlg/Arnoldi.h:143:18:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o RSpectra.so eigs_gen.o eigs_sym.o is_sym.o matops.o register_routines.o svds.o -L/opt/R-rc/lib/R/lib -lRlapack -L/opt/R-rc/lib/R/lib -lRblas -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-RSpectra/00new/RSpectra/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (RSpectra)
* installing *source* package ‘parallelly’ ...
** package ‘parallelly’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (parallelly)
* installing *source* package ‘sp’ ...
** package ‘sp’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rcentroid.c -o Rcentroid.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c gcdist.c -o gcdist.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c pip.c -o pip.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c pip2.c -o pip2.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sp_xports.c -o sp_xports.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c surfaceArea.c -o surfaceArea.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c zerodist.c -o zerodist.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o sp.so Rcentroid.o gcdist.o init.o pip.o pip2.o sp_xports.o surfaceArea.o zerodist.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-sp/00new/sp/libs
** R
** data
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (sp)
* installing *source* package ‘cli’ ...
** package ‘cli’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c ansi.c -o ansi.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c cleancall.c -o cleancall.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c diff.c -o diff.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c errors.c -o errors.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c md5.c -o md5.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c progress-altrep.c -o progress-altrep.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c progress.c -o progress.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sha256.c -o sha256.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c thread.c -o thread.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c tty.c -o tty.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c utf8.c -o utf8.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c win-utf8.c -o win-utf8.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c winfiles.c -o winfiles.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o cli.so ansi.o cleancall.o diff.o errors.o init.o md5.o progress-altrep.o progress.o sha256.o thread.o tty.o utf8.o win-utf8.o winfiles.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-cli/00new/cli/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (cli)
* installing *source* package ‘tibble’ ...
** package ‘tibble’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c attributes.c -o attributes.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c coerce.c -o coerce.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c matrixToDataFrame.c -o matrixToDataFrame.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-tibble/00new/tibble/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (tibble)
* installing *source* package ‘gplots’ ...
** package ‘gplots’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (gplots)
* installing *source* package ‘httr’ ...
** package ‘httr’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (httr)
* installing *source* package ‘ps’ ...
** package ‘ps’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -std=gnu99 -Wall -pedantic  -L/usr/local/lib -Wall px.c -o px
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c api-common.c -o api-common.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c common.c -o common.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c extra.c -o extra.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c dummy.c -o dummy.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c error-codes.c -o error-codes.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c posix.c -o posix.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c api-posix.c -o api-posix.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c linux.c -o linux.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c api-linux.c -o api-linux.o
api-linux.c: In function ‘psll_get_cpu_aff’:
api-linux.c:1139:9: warning: ‘pid’ may be used uninitialized in this function [-Wmaybe-uninitialized]
 1139 |     if (sched_getaffinity(pid, setsize, mask) == 0) {
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o posix.o api-posix.o linux.o api-linux.o -L/opt/R-rc/lib/R/lib -lR
installing via 'install.libs.R' to /home/omnipath/local/R/00LOCK-ps/00new/ps
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ps)
* installing *source* package ‘knitr’ ...
** package ‘knitr’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (knitr)
* installing *source* package ‘BiocGenerics’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
Creating a new generic function for ‘append’ in package ‘BiocGenerics’
Creating a new generic function for ‘as.data.frame’ in package ‘BiocGenerics’
Creating a new generic function for ‘cbind’ in package ‘BiocGenerics’
Creating a new generic function for ‘rbind’ in package ‘BiocGenerics’
Creating a new generic function for ‘do.call’ in package ‘BiocGenerics’
Creating a new generic function for ‘duplicated’ in package ‘BiocGenerics’
Creating a new generic function for ‘anyDuplicated’ in package ‘BiocGenerics’
Creating a new generic function for ‘eval’ in package ‘BiocGenerics’
Creating a new generic function for ‘pmax’ in package ‘BiocGenerics’
Creating a new generic function for ‘pmin’ in package ‘BiocGenerics’
Creating a new generic function for ‘pmax.int’ in package ‘BiocGenerics’
Creating a new generic function for ‘pmin.int’ in package ‘BiocGenerics’
Creating a new generic function for ‘Reduce’ in package ‘BiocGenerics’
Creating a new generic function for ‘Filter’ in package ‘BiocGenerics’
Creating a new generic function for ‘Find’ in package ‘BiocGenerics’
Creating a new generic function for ‘Map’ in package ‘BiocGenerics’
Creating a new generic function for ‘Position’ in package ‘BiocGenerics’
Creating a new generic function for ‘get’ in package ‘BiocGenerics’
Creating a new generic function for ‘mget’ in package ‘BiocGenerics’
Creating a new generic function for ‘grep’ in package ‘BiocGenerics’
Creating a new generic function for ‘grepl’ in package ‘BiocGenerics’
Creating a new generic function for ‘is.unsorted’ in package ‘BiocGenerics’
Creating a new generic function for ‘lapply’ in package ‘BiocGenerics’
Creating a new generic function for ‘sapply’ in package ‘BiocGenerics’
Creating a new generic function for ‘mapply’ in package ‘BiocGenerics’
Creating a new generic function for ‘match’ in package ‘BiocGenerics’
Creating a new generic function for ‘order’ in package ‘BiocGenerics’
Creating a new generic function for ‘paste’ in package ‘BiocGenerics’
Creating a new generic function for ‘rank’ in package ‘BiocGenerics’
Creating a new generic function for ‘rownames’ in package ‘BiocGenerics’
Creating a new generic function for ‘colnames’ in package ‘BiocGenerics’
Creating a new generic function for ‘union’ in package ‘BiocGenerics’
Creating a new generic function for ‘intersect’ in package ‘BiocGenerics’
Creating a new generic function for ‘setdiff’ in package ‘BiocGenerics’
Creating a new generic function for ‘sort’ in package ‘BiocGenerics’
Creating a new generic function for ‘table’ in package ‘BiocGenerics’
Creating a new generic function for ‘tapply’ in package ‘BiocGenerics’
Creating a new generic function for ‘unique’ in package ‘BiocGenerics’
Creating a new generic function for ‘unsplit’ in package ‘BiocGenerics’
Creating a new generic function for ‘var’ in package ‘BiocGenerics’
Creating a new generic function for ‘sd’ in package ‘BiocGenerics’
Creating a new generic function for ‘which.min’ in package ‘BiocGenerics’
Creating a new generic function for ‘which.max’ in package ‘BiocGenerics’
Creating a new generic function for ‘IQR’ in package ‘BiocGenerics’
Creating a new generic function for ‘mad’ in package ‘BiocGenerics’
Creating a new generic function for ‘xtabs’ in package ‘BiocGenerics’
Creating a new generic function for ‘basename’ in package ‘BiocGenerics’
Creating a new generic function for ‘dirname’ in package ‘BiocGenerics’
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocGenerics)
* installing *source* package ‘BiocParallel’ ...
** using staged installation
checking for gcc... gcc
checking whether the C compiler works... yes
checking for C compiler default output file name... a.out
checking for suffix of executables... 
checking whether we are cross compiling... no
checking for suffix of object files... o
checking whether we are using the GNU C compiler... yes
checking whether gcc accepts -g... yes
checking for gcc option to accept ISO C89... none needed
checking for shm_open in -lrt... yes
configure: creating ./config.status
config.status: creating src/Makevars
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/BH/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c ipcmutex.cpp -o ipcmutex.o
In file included from /opt/R-rc/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/apply.hpp:24,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/aux_/fold_impl.hpp:19,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/fold.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/remove_if.hpp:18,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/remove.hpp:18,
                 from /opt/R-rc/lib/R/library/BH/include/boost/function_types/components.hpp:44,
                 from /opt/R-rc/lib/R/library/BH/include/boost/function_types/is_member_function_pointer.hpp:14,
                 from /opt/R-rc/lib/R/library/BH/include/boost/tti/detail/dmem_fun.hpp:10,
                 from /opt/R-rc/lib/R/library/BH/include/boost/tti/has_member_function.hpp:15,
                 from /opt/R-rc/lib/R/library/BH/include/boost/uuid/random_generator.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/uuid/uuid_generators.hpp:17,
                 from ipcmutex.cpp:3:
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o BiocParallel.so ipcmutex.o -lrt -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-BiocParallel/00new/BiocParallel/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocParallel)
* installing *source* package ‘MatrixGenerics’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (MatrixGenerics)
* installing *source* package ‘limma’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c normexp.c -o normexp.o
normexp.c: In function ‘fit_saddle_nelder_mead’:
normexp.c:165:78: warning: ISO C forbids passing argument 9 of ‘nmmin’ between function pointer and ‘void *’ [-Wpedantic]
  165 |   nmmin(3, par, parsOut, Fmin, normexp_m2loglik_saddle, fail, abstol, intol, &ex, alpha, beta, gamma, trace, fncount, maxit);
      |                                                                              ^~~
In file included from normexp.c:12:
/opt/R-rc/lib/R/include/R_ext/Applic.h:73:51: note: expected ‘void *’ but argument is of type ‘void (*)()’
   73 |     int *fail, double abstol, double intol, void *ex,
      |                                             ~~~~~~^~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c weighted_lowess.c -o weighted_lowess.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o limma.so init.o normexp.o weighted_lowess.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-limma/00new/limma/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (limma)
* installing *source* package ‘zlibbioc’ ...
** using staged installation
configure: creating ./config.status
config.status: creating src/Makevars
** libs
mkdir -p "/home/omnipath/local/R/00LOCK-zlibbioc/00new/zlibbioc/include"
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_zlibbioc.c -o R_init_zlibbioc.o
R_init_zlibbioc.c:1: warning: ISO C forbids an empty translation unit [-Wpedantic]
    1 | /* do not remove */
      | 
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o zlibbioc.so R_init_zlibbioc.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-zlibbioc/00new/zlibbioc/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (zlibbioc)
* installing *source* package ‘leiden’ ...
** package ‘leiden’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (leiden)
* installing *source* package ‘BiocManager’ ...
** package ‘BiocManager’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocManager)
* installing *source* package ‘metapod’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c combine_group.cpp -o combine_group.o
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_simes; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:81:64:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_berger; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:86:65:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_wilkinson; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:91:83:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_holm_min; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:96:82:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_stouffer; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:101:67:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_fisher; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:106:65:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
combine_group.cpp: In instantiation of ‘Rcpp::List compute_grouped(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::RObject, bool, const PREP&) [with PREP = p_pearson; Rcpp::List = Rcpp::Vector<19>; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::IntegerVector = Rcpp::Vector<13>; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
combine_group.cpp:111:66:   required from here
combine_group.cpp:41:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   41 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
combine_group.cpp:68:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   68 |     if (counter != pvals.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c combine_parallel.cpp -o combine_parallel.o
combine_parallel.cpp: In constructor ‘parallel_weight_server::parallel_weight_server(size_t, size_t, Rcpp::RObject)’:
combine_parallel.cpp:28:36: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
   28 |                 if (wrepeat.size() != nvectors) {
      |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~
In file included from p_berger.h:4,
                 from combine_parallel.cpp:1:
utils.h: In instantiation of ‘parallel_vectors<V>::parallel_vectors(Rcpp::List) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::List = Rcpp::Vector<19>]’:
combine_parallel.cpp:20:82:   required from here
utils.h:72:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   72 |                 if (nelements != vectors[p].size()) {
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c count_direction.cpp -o count_direction.o
count_direction.cpp: In function ‘Rcpp::List count_grouped_direction(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::NumericVector, int, double, double, bool)’:
count_direction.cpp:95:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   95 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
count_direction.cpp:98:25: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   98 |             if (counter >= pvalues.size()) {
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~
count_direction.cpp:120:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  120 |     if (counter != pvalues.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~
In file included from count_direction.cpp:2:
utils.h: In instantiation of ‘parallel_vectors<V>::parallel_vectors(Rcpp::List) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::List = Rcpp::Vector<19>]’:
count_direction.cpp:40:58:   required from here
utils.h:72:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   72 |                 if (nelements != vectors[p].size()) {
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c summarize_direction.cpp -o summarize_direction.o
summarize_direction.cpp: In function ‘Rcpp::IntegerVector summarize_grouped_direction(Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::LogicalVector, double)’:
summarize_direction.cpp:43:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   43 |     for (size_t g = 0; g < runs.size(); ++g) {
      |                        ~~^~~~~~~~~~~~~
summarize_direction.cpp:46:25: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   46 |             if (counter >= effects.size()) {
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~
summarize_direction.cpp:61:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   61 |     if (counter != effects.size()) {
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~
In file included from summarize_direction.cpp:2:
utils.h: In instantiation of ‘parallel_vectors<V>::parallel_vectors(Rcpp::List) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::List = Rcpp::Vector<19>]’:
summarize_direction.cpp:10:58:   required from here
utils.h:72:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   72 |                 if (nelements != vectors[p].size()) {
utils.h: In instantiation of ‘parallel_vectors<V>::parallel_vectors(Rcpp::List) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; Rcpp::List = Rcpp::Vector<19>]’:
summarize_direction.cpp:11:66:   required from here
utils.h:72:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o metapod.so RcppExports.o combine_group.o combine_parallel.o count_direction.o summarize_direction.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-metapod/00new/metapod/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (metapod)
* installing *source* package ‘checkmate’ ...
** package ‘checkmate’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c all_missing.c -o all_missing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_infinite.c -o any_infinite.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_missing.c -o any_missing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_nan.c -o any_nan.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c checks.c -o checks.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c find_nchar.c -o find_nchar.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c guess_type.c -o guess_type.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c helper.c -o helper.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c integerish.c -o integerish.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c is_sorted.c -o is_sorted.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c qassert.c -o qassert.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c which_first.c -o which_first.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-checkmate/00new/checkmate/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (checkmate)
* installing *source* package ‘markdown’ ...
** package ‘markdown’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rbase64.c -o Rbase64.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rinit.c -o Rinit.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rmarkdown.c -o Rmarkdown.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c autolink.c -o autolink.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c buffer.c -o buffer.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c houdini_href_e.c -o houdini_href_e.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c houdini_html_e.c -o houdini_html_e.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c html.c -o html.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c html_smartypants.c -o html_smartypants.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c markdown.c -o markdown.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c stack.c -o stack.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o markdown.so Rbase64.o Rinit.o Rmarkdown.o autolink.o buffer.o houdini_href_e.o houdini_html_e.o html.o html_smartypants.o markdown.o stack.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-markdown/00new/markdown/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (markdown)
* installing *source* package ‘rgeos’ ...
** package ‘rgeos’ successfully unpacked and MD5 sums checked
** using staged installation
configure: CC: gcc
configure: CXX: g++ -std=gnu++14
configure: rgeos: 0.5-9
checking for /usr/bin/svnversion... yes
configure: svn revision: 684
checking for geos-config... /usr/bin/geos-config
checking geos-config usability... yes
configure: GEOS version: 3.8.0
checking geos version at least 3.2.0... yes
checking geos-config clibs... yes
checking geos_c.h  presence and usability... yes
checking geos: linking with libgeos_c... yes
configure: PKG_CPPFLAGS:  -I/usr/include
configure: PKG_LIBS:  -L/usr/lib/x86_64-linux-gnu -lgeos_c
configure: creating ./config.status
config.status: creating src/Makevars
** libs
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c dummy.cc -o dummy.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c local_stubs.c -o local_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos.c -o rgeos.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_R2geos.c -o rgeos_R2geos.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_R2geosMP.c -o rgeos_R2geosMP.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_bbox.c -o rgeos_bbox.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_buffer.c -o rgeos_buffer.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_coord.c -o rgeos_coord.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_geos2R.c -o rgeos_geos2R.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_linearref.c -o rgeos_linearref.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_misc.c -o rgeos_misc.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_poly2nb.c -o rgeos_poly2nb.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_predicate_binary.c -o rgeos_predicate_binary.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_predicate_unary.c -o rgeos_predicate_unary.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_topology.c -o rgeos_topology.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_topology_binary.c -o rgeos_topology_binary.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_validate.c -o rgeos_validate.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rgeos_wkt.c -o rgeos_wkt.o
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o rgeos.so dummy.o init.o local_stubs.o rgeos.o rgeos_R2geos.o rgeos_R2geosMP.o rgeos_bbox.o rgeos_buffer.o rgeos_coord.o rgeos_geos2R.o rgeos_linearref.o rgeos_misc.o rgeos_poly2nb.o rgeos_predicate_binary.o rgeos_predicate_unary.o rgeos_topology.o rgeos_topology_binary.o rgeos_validate.o rgeos_wkt.o -L/usr/lib/x86_64-linux-gnu -lgeos_c -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-rgeos/00new/rgeos/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rgeos)
* installing *source* package ‘future’ ...
** package ‘future’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (future)
* installing *source* package ‘ggplot2’ ...
** package ‘ggplot2’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ggplot2)
* installing *source* package ‘dplyr’ ...
** package ‘dplyr’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c chop.cpp -o chop.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c filter.cpp -o filter.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c funs.cpp -o funs.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c group_by.cpp -o group_by.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c group_data.cpp -o group_data.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c imports.cpp -o imports.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c init.cpp -o init.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c mask.cpp -o mask.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c mutate.cpp -o mutate.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c slice.cpp -o slice.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c summarise.cpp -o summarise.o
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o slice.o summarise.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-dplyr/00new/dplyr/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (dplyr)
* installing *source* package ‘rmarkdown’ ...
** package ‘rmarkdown’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rmarkdown)
* installing *source* package ‘S4Vectors’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c AEbufs.c -o AEbufs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c DataFrame_class.c -o DataFrame_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Hits_class.c -o Hits_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c LLint_class.c -o LLint_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c List_class.c -o List_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_S4Vectors.c -o R_init_S4Vectors.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rle_class.c -o Rle_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rle_utils.c -o Rle_utils.o
Rle_utils.c: In function ‘Rle_real_runq’:
Rle_utils.c:701:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation]
  701 |     if (count_na != 0)
      |     ^~
Rle_utils.c:703:6: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’
  703 |      q_index = roundingScale(window_len_na,
      |      ^~~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SEXP_utils.c -o SEXP_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SimpleList_class.c -o SimpleList_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c anyMissing.c -o anyMissing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c character_utils.c -o character_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c eval_utils.c -o eval_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c hash_utils.c -o hash_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c integer_utils.c -o integer_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c logical_utils.c -o logical_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c map_ranges_to_runs.c -o map_ranges_to_runs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c raw_utils.c -o raw_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c safe_arithm.c -o safe_arithm.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sort_utils.c -o sort_utils.o
sort_utils.c:263:13: warning: ‘sort_uchar_array’ defined but not used [-Wunused-function]
  263 | static void sort_uchar_array(unsigned char *x, int nelt, int desc)
      |             ^~~~~~~~~~~~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c subsetting_utils.c -o subsetting_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c vector_utils.c -o vector_utils.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o S4Vectors.so AEbufs.o DataFrame_class.o Hits_class.o LLint_class.o List_class.o R_init_S4Vectors.o Rle_class.o Rle_utils.o SEXP_utils.o SimpleList_class.o anyMissing.o character_utils.o eval_utils.o hash_utils.o integer_utils.o logical_utils.o map_ranges_to_runs.o raw_utils.o safe_arithm.o sort_utils.o subsetting_utils.o vector_utils.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-S4Vectors/00new/S4Vectors/libs
** R
** inst
** byte-compile and prepare package for lazy loading
in method for ‘normalizeSingleBracketReplacementValue’ with signature ‘"List"’: no definition for class “List”
Creating a new generic function for ‘unname’ in package ‘S4Vectors’
Creating a new generic function for ‘expand.grid’ in package ‘S4Vectors’
Creating a new generic function for ‘findMatches’ in package ‘S4Vectors’
Creating a generic function for ‘setequal’ from package ‘base’ in package ‘S4Vectors’
in method for ‘coerce’ with signature ‘"Hits","DFrame"’: no definition for class “DFrame”
Creating a generic function for ‘as.factor’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘tabulate’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘cov’ from package ‘stats’ in package ‘S4Vectors’
Creating a generic function for ‘cor’ from package ‘stats’ in package ‘S4Vectors’
Creating a generic function for ‘smoothEnds’ from package ‘stats’ in package ‘S4Vectors’
Creating a generic function for ‘runmed’ from package ‘stats’ in package ‘S4Vectors’
Creating a generic function for ‘nchar’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘substr’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘substring’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘chartr’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘tolower’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘toupper’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘sub’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘gsub’ from package ‘base’ in package ‘S4Vectors’
Creating a generic function for ‘nlevels’ from package ‘base’ in package ‘S4Vectors’
in method for ‘coerce’ with signature ‘"data.table","DFrame"’: no definition for class “data.table”
Creating a generic function for ‘complete.cases’ from package ‘stats’ in package ‘S4Vectors’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (S4Vectors)
* installing *source* package ‘sparseMatrixStats’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c SparseMatrixView.cpp -o SparseMatrixView.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c methods.cpp -o methods.o
In file included from methods.cpp:6:
quantile.h: In instantiation of ‘double quantile_sparse_impl(T, int, double) [with T = VectorSubsetView<14>]’:
quantile.h:85:85:   required from here
quantile.h:35:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   35 |   for(int i = 0; i < sorted_values.size() + number_of_zeros; i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
methods.cpp: In instantiation of ‘double colOrderStats::operator()(V&, R&, int) const [with V = SkipNAVectorSubsetView<14>; R = SkipNAVectorSubsetView<13>]’:
methods.cpp:25:18:   required from ‘Rcpp::NumericVector reduce_matrix_double(Rcpp::S4, bool, Functor) [with Functor = colOrderStats; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::S4 = Rcpp::S4_Impl<Rcpp::PreserveStorage>]’
methods.cpp:510:73:   required from here
methods.cpp:475:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  475 |     for(int i = 0; i < sorted_values.size() + number_of_zeros; i++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
methods.cpp: In instantiation of ‘double colOrderStats::operator()(V&, R&, int) const [with V = VectorSubsetView<14>; R = VectorSubsetView<13>]’:
methods.cpp:30:18:   required from ‘Rcpp::NumericVector reduce_matrix_double(Rcpp::S4, bool, Functor) [with Functor = colOrderStats; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::S4 = Rcpp::S4_Impl<Rcpp::PreserveStorage>]’
methods.cpp:510:73:   required from here
methods.cpp:475:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
In file included from methods.cpp:6:
quantile.h: In instantiation of ‘double quantile_sparse_impl(T, int, double) [with T = SkipNAVectorSubsetView<14>]’:
methods.cpp:269:32:   required from ‘double colMedians::operator()(V&, R&, int) const [with V = SkipNAVectorSubsetView<14>; R = SkipNAVectorSubsetView<13>]’
methods.cpp:25:18:   required from ‘Rcpp::NumericVector reduce_matrix_double(Rcpp::S4, bool, Functor) [with Functor = colMedians; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>; Rcpp::S4 = Rcpp::S4_Impl<Rcpp::PreserveStorage>]’
methods.cpp:277:63:   required from here
quantile.h:35:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   35 |   for(int i = 0; i < sorted_values.size() + number_of_zeros; i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c row_methods.cpp -o row_methods.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o sparseMatrixStats.so RcppExports.o SparseMatrixView.o methods.o row_methods.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-sparseMatrixStats/00new/sparseMatrixStats/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (sparseMatrixStats)
* installing *source* package ‘Biobase’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Rinit.c -o Rinit.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c anyMissing.c -o anyMissing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c envir.c -o envir.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c matchpt.c -o matchpt.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c rowMedians.c -o rowMedians.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sublist_extract.c -o sublist_extract.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o Biobase.so Rinit.o anyMissing.o envir.o matchpt.o rowMedians.o sublist_extract.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-Biobase/00new/Biobase/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (Biobase)
* installing *source* package ‘edgeR’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_add_prior_count.cpp -o R_add_prior_count.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_ave_log_cpm.cpp -o R_ave_log_cpm.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_calculate_cpm.cpp -o R_calculate_cpm.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_check_poisson_bound.cpp -o R_check_poisson_bound.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_compute_apl.cpp -o R_compute_apl.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_compute_nbdev.cpp -o R_compute_nbdev.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_exact_test_by_deviance.cpp -o R_exact_test_by_deviance.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_fit_levenberg.cpp -o R_fit_levenberg.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_fit_one_group.cpp -o R_fit_one_group.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_get_one_way_fitted.cpp -o R_get_one_way_fitted.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_initialize_levenberg.cpp -o R_initialize_levenberg.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_loess_by_col.cpp -o R_loess_by_col.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_maximize_interpolant.cpp -o R_maximize_interpolant.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_process_hairpin_reads.c -o R_process_hairpin_reads.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c R_simple_good_turing.cpp -o R_simple_good_turing.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c add_prior.cpp -o add_prior.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c adj_coxreid.cpp -o adj_coxreid.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c fmm_spline.c -o fmm_spline.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c glm_levenberg.cpp -o glm_levenberg.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c glm_one_group.cpp -o glm_one_group.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c init.cpp -o init.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c interpolator.cpp -o interpolator.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c nbdev.cpp -o nbdev.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c objects.cpp -o objects.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o edgeR.so R_add_prior_count.o R_ave_log_cpm.o R_calculate_cpm.o R_check_poisson_bound.o R_compute_apl.o R_compute_nbdev.o R_exact_test_by_deviance.o R_fit_levenberg.o R_fit_one_group.o R_get_one_way_fitted.o R_initialize_levenberg.o R_loess_by_col.o R_maximize_interpolant.o R_process_hairpin_reads.o R_simple_good_turing.o add_prior.o adj_coxreid.o fmm_spline.o glm_levenberg.o glm_one_group.o init.o interpolator.o nbdev.o objects.o -L/opt/R-rc/lib/R/lib -lRlapack -L/opt/R-rc/lib/R/lib -lRblas -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-edgeR/00new/edgeR/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (edgeR)
* installing *source* package ‘testthat’ ...
** package ‘testthat’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT  -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT  -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c reassign.c -o reassign.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT  -I/usr/local/include   -fpic  -Wall -pedantic  -c test-catch.cpp -o test-catch.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT  -I/usr/local/include   -fpic  -Wall -pedantic  -c test-example.cpp -o test-example.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT  -I/usr/local/include   -fpic  -Wall -pedantic  -c test-runner.cpp -o test-runner.o
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-testthat/00new/testthat/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (testthat)
* installing *source* package ‘future.apply’ ...
** package ‘future.apply’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (future.apply)
* installing *source* package ‘IRanges’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c CompressedAtomicList_utils.c -o CompressedAtomicList_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c CompressedIRangesList_class.c -o CompressedIRangesList_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c CompressedList_class.c -o CompressedList_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Grouping_class.c -o Grouping_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c IPosRanges_comparison.c -o IPosRanges_comparison.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c IRanges_class.c -o IRanges_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c IRanges_constructor.c -o IRanges_constructor.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c NCList.c -o NCList.o
NCList.c:1173:13: warning: ‘NCList_get_y_overlaps_rec’ defined but not used [-Wunused-function]
 1173 | static void NCList_get_y_overlaps_rec(const NCList *x_nclist,
      |             ^~~~~~~~~~~~~~~~~~~~~~~~~
NCList.c:202:22: warning: ‘next_top_down’ defined but not used [-Wunused-function]
  202 | static const NCList *next_top_down(const NCList *nclist)
      |                      ^~~~~~~~~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_IRanges.c -o R_init_IRanges.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Ranges_class.c -o Ranges_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c RleViews_utils.c -o RleViews_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c S4Vectors_stubs.c -o S4Vectors_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SimpleIRangesList_class.c -o SimpleIRangesList_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c coverage_methods.c -o coverage_methods.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c extractListFragments.c -o extractListFragments.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c inter_range_methods.c -o inter_range_methods.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o IRanges.so CompressedAtomicList_utils.o CompressedIRangesList_class.o CompressedList_class.o Grouping_class.o IPosRanges_comparison.o IRanges_class.o IRanges_constructor.o NCList.o R_init_IRanges.o Ranges_class.o RleViews_utils.o S4Vectors_stubs.o SimpleIRangesList_class.o coverage_methods.o extractListFragments.o inter_range_methods.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-IRanges/00new/IRanges/libs
** R
** inst
** byte-compile and prepare package for lazy loading
Creating a generic function for ‘drop’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘runmed’ from package ‘stats’ in package ‘IRanges’
Creating a generic function for ‘chartr’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘toupper’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘tolower’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘sub’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘gsub’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘startsWith’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘endsWith’ from package ‘base’ in package ‘IRanges’
Creating a generic function for ‘smoothEnds’ from package ‘stats’ in package ‘IRanges’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (IRanges)
* installing *source* package ‘BiocNeighbors’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c annoy.cpp -o annoy.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c build_annoy.cpp -o build_annoy.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c build_hnsw.cpp -o build_hnsw.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c build_vptree.cpp -o build_vptree.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c distances.cpp -o distances.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c exhaustive.cpp -o exhaustive.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_annoy.cpp -o find_annoy.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_exhaustive.cpp -o find_exhaustive.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_hnsw.cpp -o find_hnsw.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_kmknn.cpp -o find_kmknn.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_mutual_nns.cpp -o find_mutual_nns.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c find_vptree.cpp -o find_vptree.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c hnsw.cpp -o hnsw.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c kmknn.cpp -o kmknn.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c query_annoy.cpp -o query_annoy.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c query_exhaustive.cpp -o query_exhaustive.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c query_hnsw.cpp -o query_hnsw.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c query_kmknn.cpp -o query_kmknn.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c query_vptree.cpp -o query_vptree.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c utils.cpp -o utils.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppHNSW/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c vptree.cpp -o vptree.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o BiocNeighbors.so RcppExports.o annoy.o build_annoy.o build_hnsw.o build_vptree.o distances.o exhaustive.o find_annoy.o find_exhaustive.o find_hnsw.o find_kmknn.o find_mutual_nns.o find_vptree.o hnsw.o kmknn.o query_annoy.o query_exhaustive.o query_hnsw.o query_kmknn.o query_vptree.o utils.o vptree.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-BiocNeighbors/00new/BiocNeighbors/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocNeighbors)
* installing *source* package ‘BiocStyle’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocStyle)
* installing *source* package ‘DelayedArray’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_DelayedArray.c -o R_init_DelayedArray.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c S4Vectors_stubs.c -o S4Vectors_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c abind.c -o abind.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c array_selection.c -o array_selection.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c compress_atomic_vector.c -o compress_atomic_vector.o
compress_atomic_vector.c: In function ‘C_encode_atomic_vector’:
compress_atomic_vector.c:66:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized]
   66 |  return ans;
      |         ^~~
compress_atomic_vector.c: In function ‘C_decode_atomic_vector’:
compress_atomic_vector.c:73:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized]
   73 |  return ans;
      |         ^~~
compress_atomic_vector.c: In function ‘C_compress_atomic_vector’:
compress_atomic_vector.c:85:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized]
   85 |  return ans;
      |         ^~~
compress_atomic_vector.c: In function ‘C_decompress_atomic_vector’:
compress_atomic_vector.c:92:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized]
   92 |  return ans;
      |         ^~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sparseMatrix_utils.c -o sparseMatrix_utils.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o DelayedArray.so R_init_DelayedArray.o S4Vectors_stubs.o abind.o array_selection.o compress_atomic_vector.o sparseMatrix_utils.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-DelayedArray/00new/DelayedArray/libs
** R
** inst
** byte-compile and prepare package for lazy loading
Creating a new generic function for ‘rowsum’ in package ‘DelayedArray’
Creating a new generic function for ‘aperm’ in package ‘DelayedArray’
Creating a new generic function for ‘apply’ in package ‘DelayedArray’
Creating a new generic function for ‘sweep’ in package ‘DelayedArray’
Creating a new generic function for ‘scale’ in package ‘DelayedArray’
Creating a generic function for ‘dnorm’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘pnorm’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘qnorm’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘dbinom’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘pbinom’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘qbinom’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘dpois’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘ppois’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘qpois’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘dlogis’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘plogis’ from package ‘stats’ in package ‘DelayedArray’
Creating a generic function for ‘qlogis’ from package ‘stats’ in package ‘DelayedArray’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DelayedArray)
* installing *source* package ‘XVector’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c IRanges_stubs.c -o IRanges_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c Ocopy_byteblocks.c -o Ocopy_byteblocks.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c RDS_random_access.c -o RDS_random_access.o
RDS_random_access.c: In function ‘RDS_extract_subarray’:
RDS_random_access.c:796:18: warning: unused variable ‘ans’ [-Wunused-variable]
  796 |  SEXP subscript, ans;
      |                  ^~~
RDS_random_access.c:793:11: warning: variable ‘x_type’ set but not used [-Wunused-but-set-variable]
  793 |  SEXPTYPE x_type;
      |           ^~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_XVector.c -o R_init_XVector.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c S4Vectors_stubs.c -o S4Vectors_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SharedDouble_class.c -o SharedDouble_class.o
SharedDouble_class.c: In function ‘SharedDouble_get_show_string’:
SharedDouble_class.c:42:68: warning: format ‘%p’ expects argument of type ‘void *’, but argument 5 has type ‘double *’ [-Wformat=]
   42 |   "%d-number SharedDouble object (data starting at memory address %p)",
      |                                                                   ~^
      |                                                                    |
      |                                                                    void *
   43 |   tag_length, REAL(tag));
      |               ~~~~~~~~~                                             
      |               |
      |               double *
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SharedInteger_class.c -o SharedInteger_class.o
SharedInteger_class.c: In function ‘SharedInteger_get_show_string’:
SharedInteger_class.c:41:70: warning: format ‘%p’ expects argument of type ‘void *’, but argument 5 has type ‘int *’ [-Wformat=]
   41 |   "%d-integer SharedInteger object (data starting at memory address %p)",
      |                                                                     ~^
      |                                                                      |
      |                                                                      void *
      |                                                                     %ls
   42 |   tag_length, INTEGER(tag));
      |               ~~~~~~~~~~~~                                            
      |               |
      |               int *
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SharedRaw_class.c -o SharedRaw_class.o
SharedRaw_class.c: In function ‘SharedRaw_read_complexes_from_subscript’:
SharedRaw_class.c:396:13: warning: variable ‘src_tag’ set but not used [-Wunused-but-set-variable]
  396 |  SEXP dest, src_tag;
      |             ^~~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c SharedVector_class.c -o SharedVector_class.o
SharedVector_class.c: In function ‘address_as_CHARSXP’:
SharedVector_class.c:22:31: warning: format ‘%p’ expects argument of type ‘void *’, but argument 4 has type ‘SEXP’ {aka ‘struct SEXPREC *’} [-Wformat=]
   22 |  snprintf(buf, sizeof(buf), "%p", x);
      |                              ~^   ~
      |                               |   |
      |                               |   SEXP {aka struct SEXPREC *}
      |                               void *
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XDouble_class.c -o XDouble_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XInteger_class.c -o XInteger_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XRawList_comparison.c -o XRawList_comparison.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XRaw_class.c -o XRaw_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XVectorList_class.c -o XVectorList_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c XVector_class.c -o XVector_class.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c io_utils.c -o io_utils.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c slice_methods.c -o slice_methods.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c vector_copy.c -o vector_copy.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c view_summarization_methods.c -o view_summarization_methods.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o XVector.so IRanges_stubs.o Ocopy_byteblocks.o RDS_random_access.o R_init_XVector.o S4Vectors_stubs.o SharedDouble_class.o SharedInteger_class.o SharedRaw_class.o SharedVector_class.o XDouble_class.o XInteger_class.o XRawList_comparison.o XRaw_class.o XVectorList_class.o XVector_class.o io_utils.o slice_methods.o vector_copy.o view_summarization_methods.o -lz -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-XVector/00new/XVector/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (XVector)
* installing *source* package ‘GenomeInfoDb’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (GenomeInfoDb)
* installing *source* package ‘SeuratObject’ ...
** package ‘SeuratObject’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>; Functor = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseMatrix<double, 0, int>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Derived&) [with Derived = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
RcppExports.cpp:20:59:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39:   required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant<bool, false>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38:   required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
RcppExports.cpp:32:92:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:125:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39:   required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant<bool, false>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38:   required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
RcppExports.cpp:32:92:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c data_manipulation.cpp -o data_manipulation.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >’
data_manipulation.cpp:27:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
data_manipulation.cpp:33:26:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
data_manipulation.cpp:33:26:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
data_manipulation.cpp:83:95:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
data_manipulation.cpp: In function ‘Eigen::SparseMatrix<double, 0, int> RowMergeMatricesList(Rcpp::List, Rcpp::List, std::vector<std::__cxx11::basic_string<char> >)’:
data_manipulation.cpp:102:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<Eigen::SparseMatrix<double, 1, int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  102 |     for(int j = 0; j < mat_vec.size(); j++) {
      |                    ~~^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:27:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:27:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 1, int>; Eigen::Index = long int]’
data_manipulation.cpp:93:38:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:27:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = Eigen::internal::scalar_sum_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:111:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 1, int>; Eigen::Index = long int]’
data_manipulation.cpp:93:38:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c valid_pointer.c -o valid_pointer.o
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o SeuratObject.so RcppExports.o data_manipulation.o valid_pointer.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-SeuratObject/00new/SeuratObject/libs
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (SeuratObject)
* installing *source* package ‘bluster’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c build_snn.cpp -o build_snn.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c sum_neighbor_weights.cpp -o sum_neighbor_weights.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o bluster.so RcppExports.o build_snn.o sum_neighbor_weights.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-bluster/00new/bluster/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (bluster)
* installing *source* package ‘ComplexHeatmap’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ComplexHeatmap)
* installing *source* package ‘beachmat’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c fragment_sparse_rows.cpp -o fragment_sparse_rows.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o beachmat.so RcppExports.o fragment_sparse_rows.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-beachmat/00new/beachmat/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (beachmat)
* installing *source* package ‘ScaledMatrix’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ScaledMatrix)
* installing *source* package ‘DelayedMatrixStats’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DelayedMatrixStats)
* installing *source* package ‘GenomicRanges’ ...
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c IRanges_stubs.c -o IRanges_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c R_init_GenomicRanges.c -o R_init_GenomicRanges.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c S4Vectors_stubs.c -o S4Vectors_stubs.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c transcript_utils.c -o transcript_utils.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o GenomicRanges.so IRanges_stubs.o R_init_GenomicRanges.o S4Vectors_stubs.o transcript_utils.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-GenomicRanges/00new/GenomicRanges/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (GenomicRanges)
* installing *source* package ‘Seurat’ ...
** package ‘Seurat’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c ModularityOptimizer.cpp -o ModularityOptimizer.o
In file included from ModularityOptimizer.cpp:23:
ModularityOptimizer.h:159:2: warning: extra ‘;’ [-Wpedantic]
  159 | };
      |  ^
ModularityOptimizer.cpp:86:3: warning: extra ‘;’ [-Wpedantic]
   86 | {};
      |   ^
ModularityOptimizer.cpp:165:22: warning: extra ‘;’ [-Wpedantic]
  165 | Network::Network() {};
      |                      ^
ModularityOptimizer.cpp: In constructor ‘ModularityOptimizer::Network::Network(int, DVector*, std::vector<std::vector<int> >&, DVector*)’:
ModularityOptimizer.cpp:204:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  204 |   for (size_t j = 0; j < edge[0].size(); j++)
      |   ^~~
ModularityOptimizer.cpp:216:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  216 |     for (; i <= nNodes; i++)
      |     ^~~
ModularityOptimizer.cpp: In member function ‘ModularityOptimizer::Clustering ModularityOptimizer::Network::identifyComponents()’:
ModularityOptimizer.cpp:387:9: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  387 |         for (int l = firstNeighborIndex[node[k]]; l < firstNeighborIndex[node[k] + 1]; l++)
      |         ^~~
ModularityOptimizer.cpp:395:11: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  395 |           k++;
      |           ^
ModularityOptimizer.cpp:377:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  377 |   for (int i = 0; i < nNodes; i++)
      |   ^~~
ModularityOptimizer.cpp:399:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  399 |     clustering.orderClustersByNNodes();
      |     ^~~~~~~~~~
ModularityOptimizer.cpp: In member function ‘ModularityOptimizer::Network ModularityOptimizer::Network::createSubnetwork(const ModularityOptimizer::Clustering&, int, IVector&, IVector&, IVector&, DVector&) const’:
ModularityOptimizer.cpp:429:7: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  429 |       for (int k = firstNeighborIndex[j]; k < firstNeighborIndex[j + 1]; k++)
      |       ^~~
ModularityOptimizer.cpp:436:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  436 |         subnetwork.firstNeighborIndex[i + 1] = subnetwork.nEdges;
      |         ^~~~~~~~~~
ModularityOptimizer.cpp: At global scope:
ModularityOptimizer.cpp:453:4: warning: extra ‘;’ [-Wpedantic]
  453 |   };
      |    ^
ModularityOptimizer.cpp:458:27: warning: extra ‘;’ [-Wpedantic]
  458 |   resolution(resolution){};
      |                           ^
ModularityOptimizer.cpp: In member function ‘int ModularityOptimizer::VOSClusteringTechnique::removeCluster(int)’:
ModularityOptimizer.cpp:710:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  710 |   for (int j = 0; j < clustering->nClusters; j++)
      |   ^~~
ModularityOptimizer.cpp:721:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  721 |     if (i >= 0)
      |     ^~
ModularityOptimizer.cpp:723:7: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  723 |       for (int j = 0; j < network->nNodes; j++)
      |       ^~~
ModularityOptimizer.cpp:726:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  726 |         if (cluster == clustering->nClusters - 1)
      |         ^~
ModularityOptimizer.cpp: In member function ‘void ModularityOptimizer::VOSClusteringTechnique::removeSmallClusters(int)’:
ModularityOptimizer.cpp:740:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  740 |     for (int k = 0; k < vosClusteringTechnique.clustering->nClusters; k++)
      |     ^~~
ModularityOptimizer.cpp:747:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  747 |       if (i >= 0)
      |       ^~
ModularityOptimizer.cpp: In function ‘std::shared_ptr<ModularityOptimizer::Network> ModularityOptimizer::matrixToNetwork(IVector&, IVector&, DVector&, int, int)’:
ModularityOptimizer.cpp:764:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  764 |   for (size_t i = 0; i < node1.size(); i++)
      |   ^~~
ModularityOptimizer.cpp:771:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  771 |     IVector firstNeighborIndex(nNodes + 1);
      |     ^~~~~~~
ModularityOptimizer.cpp:783:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
  783 |     for (size_t i = 0; i < node1.size(); i++)
      |     ^~~
ModularityOptimizer.cpp:796:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
  796 |       if (modularityFunction == 1)
      |       ^~
ModularityOptimizer.cpp:761:7: warning: unused variable ‘n1_max’ [-Wunused-variable]
  761 |   int n1_max = *std::max_element(node1.cbegin(), node1.cend());
      |       ^~~~~~
ModularityOptimizer.cpp:762:7: warning: unused variable ‘n2_max’ [-Wunused-variable]
  762 |   int n2_max = *std::max_element(node2.cbegin(), node2.cend());
      |       ^~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RModularityOptimizer.cpp -o RModularityOptimizer.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from RModularityOptimizer.cpp:13:
ModularityOptimizer.h:159:2: warning: extra ‘;’ [-Wpedantic]
  159 | };
      |  ^
RModularityOptimizer.cpp: In function ‘Rcpp::IntegerVector RunModularityClusteringCpp(Eigen::SparseMatrix<double, 0, int>, int, double, int, int, int, int, bool, std::string)’:
RModularityOptimizer.cpp:163:5: warning: this ‘else’ clause does not guard... [-Wmisleading-indentation]
  163 |     else
      |     ^~~~
RModularityOptimizer.cpp:165:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘else’
  165 |       Rprintf("Number of communities: %d\n", clustering->getNClusters());
      |       ^~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RModularityOptimizer.cpp:9:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
RModularityOptimizer.cpp:65:38:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
RModularityOptimizer.cpp:65:38:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
RcppExports.cpp:71:105:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
RcppExports.cpp:94:67:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
RcppExports.cpp:94:67:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
RcppExports.cpp:94:67:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
RcppExports.cpp:169:67:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>; Functor = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseMatrix<double, 0, int>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Derived&) [with Derived = Eigen::SparseMatrix<double, 0, int>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
RcppExports.cpp:29:174:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::SparseMatrix<double, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::SparseMatrix<double, 1>; Functor = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 1>; Src = Eigen::SparseMatrix<double, 1>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<double, 1>; Src = Eigen::SparseMatrix<double, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Derived&) [with Derived = Eigen::SparseMatrix<double, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 1; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 1; _StorageIndex = int]’
RcppExports.cpp:71:105:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39:   required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant<bool, false>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38:   required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
RcppExports.cpp:43:94:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:125:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39:   required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant<bool, false>]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52:   required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
/opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38:   required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
RcppExports.cpp:43:94:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c data_manipulation.cpp -o data_manipulation.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
data_manipulation.cpp:18:21:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
data_manipulation.cpp:18:21:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >’
data_manipulation.cpp:18:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
data_manipulation.cpp:18:83:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’
data_manipulation.cpp:18:83:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
data_manipulation.cpp:75:127:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
data_manipulation.cpp:131:88:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
data_manipulation.cpp:131:88:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
data_manipulation.cpp:136:20:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
data_manipulation.cpp:136:33:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
data_manipulation.cpp:136:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
data_manipulation.cpp:138:32:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
data_manipulation.cpp:138:32:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
data_manipulation.cpp:138:48:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
data_manipulation.cpp:186:52:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
data_manipulation.cpp:187:21:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
data_manipulation.cpp:187:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
data_manipulation.cpp:187:40:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
data_manipulation.cpp:187:51:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
data_manipulation.cpp:194:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
data_manipulation.cpp:231:38:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
data_manipulation.cpp:231:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
data_manipulation.cpp:368:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
data_manipulation.cpp:368:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 1, int>; Eigen::Index = long int]’
data_manipulation.cpp:95:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:150:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:150:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>]’
data_manipulation.cpp:249:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = Eigen::internal::scalar_sum_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:110:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
data_manipulation.cpp:150:23:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from ‘class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from ‘class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, 2>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<int, 2, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   required from ‘class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from ‘class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from ‘class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from ‘class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from ‘class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:89:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:10:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
data_manipulation.cpp:137:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
data_manipulation.cpp:138:54:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType]’
data_manipulation.cpp:368:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21:   required from ‘Eigen::Index Eigen::BlockImpl<XprType, BlockRows, BlockCols, true, Eigen::Sparse>::nonZeros() const [with XprType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:69:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 1, int>; Eigen::Index = long int]’
data_manipulation.cpp:95:37:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType]’
data_manipulation.cpp:136:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
data_manipulation.cpp:187:51:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Array<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Array<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::Array<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<Eigen::internal::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType]’
data_manipulation.cpp:368:39:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8:   required from ‘struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, false>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9:   required from ‘void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:7:   required from ‘Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9:   required from ‘void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:7:   required from ‘Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40:   required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’
data_manipulation.cpp:409:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>]’
data_manipulation.cpp:249:17:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:106:40:   required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:301:81:   required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:353:66:   required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:485:18:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:196:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::ResScalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                     ^~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:10:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1:   required from ‘ResultType Eigen::internal::member_mean<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_mean<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from data_manipulation.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:231:70:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:10:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1:   required from ‘ResultType Eigen::internal::member_mean<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_mean<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; Derived = Eigen::Matrix<double, -1, -1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_mean<double>, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
data_manipulation.cpp:229:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c fast_NN_dist.cpp -o fast_NN_dist.o
fast_NN_dist.cpp: In function ‘Rcpp::List fast_dist(Rcpp::NumericMatrix, Rcpp::NumericMatrix, Rcpp::List)’:
fast_NN_dist.cpp:37:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
   37 |   if (x.nrow() != ngraph_size) { return List(); }
      |       ~~~~~~~~~^~~~~~~~~~~~~~
fast_NN_dist.cpp:51:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   51 |     for (size_t j=0; j<neighbors.size(); ++j) {
      |                      ~^~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c integration.cpp -o integration.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
integration.cpp:23:1:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
integration.cpp:23:1:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
integration.cpp:23:1:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
integration.cpp: In function ‘Eigen::SparseMatrix<double, 0, int> FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector<std::__cxx11::basic_string<char> >, std::vector<std::__cxx11::basic_string<char> >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)’:
integration.cpp:29:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   29 |   for(int i=0; i<anchor_cells2.size(); ++i){
      |                ~^~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
integration.cpp:43:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
integration.cpp:48:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   48 |       for(int j=0; j<mnn_idx.size() && k<indices.size(); ++j){
      |                    ~^~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >’
integration.cpp:60:54:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
integration.cpp:60:99:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, 7>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’
integration.cpp:60:99:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
integration.cpp:68:121:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
integration.cpp:83:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2>’
integration.cpp:94:85:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> >’
integration.cpp:94:85:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
integration.cpp: In function ‘std::vector<double> ScoreHelper(Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, int, bool, bool)’:
integration.cpp:125:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  125 |     if (k_snn_i > nonzero_order.size()) k_snn_i = nonzero_order.size();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
integration.cpp:126:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  126 |     for (int j = 0; j < nonzero_order.size(); ++j) {
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~
integration.cpp:129:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  129 |       if(bw_dists.size() < k_snn_i || nonzero[nonzero_order[j]] == nonzero[nonzero_order[k_snn_i-1]]) {
      |          ~~~~~~~~~~~~~~~~^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
integration.cpp:130:41:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
integration.cpp:130:60:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
integration.cpp:138:25: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  138 |     if (bw_dists.size() > k_snn_i) {
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
integration.cpp:83:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, Eigen::SparseMatrix<double, 0, int>, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
integration.cpp:94:85:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:926:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector<std::__cxx11::basic_string<char> >, std::vector<std::__cxx11::basic_string<char> >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::<lambda(const double&, const double&)>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector<std::__cxx11::basic_string<char> >, std::vector<std::__cxx11::basic_string<char> >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::<lambda(const double&, const double&)>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
integration.cpp:59:123:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
integration.cpp:62:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
integration.cpp:130:68:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector<std::__cxx11::basic_string<char> >, std::vector<std::__cxx11::basic_string<char> >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::<lambda(const double&, const double&)>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector<std::__cxx11::basic_string<char> >, std::vector<std::__cxx11::basic_string<char> >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::<lambda(const double&, const double&)>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
integration.cpp:59:123:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
integration.cpp:83:42:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:43:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
integration.cpp:130:68:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:43:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
integration.cpp:62:73:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
integration.cpp:130:68:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from integration.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
integration.cpp:77:58:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c snn.cpp -o snn.o
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<float>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from ‘class Eigen::Quaternion<double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, -1>’
/opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
snn.cpp:16:79:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
snn.cpp:16:79:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >’
snn.cpp:27:30:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2>’
snn.cpp:27:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
snn.cpp: In function ‘std::vector<double> SNN_SmallestNonzero_Dist(Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixXd, int, std::vector<double>)’:
snn.cpp:99:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
   99 |     if (n_i > nonzero_order.size()) n_i = nonzero_order.size();
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~
snn.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  101 |     for (int j = 0; j < nonzero_order.size(); ++j) {
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~
snn.cpp:105:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  105 |       if(dists.size() < n_i  || nonzero[nonzero_order[j]] == nonzero[nonzero_order[n_i-1]]) {
      |          ~~~~~~~~~~~~~^~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
snn.cpp:106:35:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
snn.cpp:106:48:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
snn.cpp:117:22: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  117 |     if (dists.size() > n_i) {
      |         ~~~~~~~~~~~~~^~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
snn.cpp:27:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
snn.cpp:27:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:926:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = Eigen::internal::scalar_sum_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
snn.cpp:26:61:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:32:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
snn.cpp:29:62:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
snn.cpp:106:56:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = Eigen::internal::scalar_sum_op<double, double>]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
snn.cpp:26:61:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase<Derived>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
snn.cpp:27:31:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
snn.cpp:106:56:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
  960 |   enum {
      |        ^
In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from snn.cpp:1:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36:   required from ‘Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21:   required from ‘Eigen::SparseCompressedBase<Derived>::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase<Derived>&, Eigen::Index) [with Derived = Eigen::SparseMatrix<double, 0, int>; Eigen::Index = long int]’
snn.cpp:29:62:   required from here
/opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c stats.cpp -o stats.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c valid_pointer.c -o valid_pointer.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o Seurat.so ModularityOptimizer.o RModularityOptimizer.o RcppExports.o data_manipulation.o fast_NN_dist.o integration.o snn.o stats.o valid_pointer.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-Seurat/00new/Seurat/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (Seurat)
* installing *source* package ‘SummarizedExperiment’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (SummarizedExperiment)
* installing *source* package ‘BiocSingular’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c compute_scale.cpp -o compute_scale.o
compute_scale.cpp: In function ‘Rcpp::NumericVector compute_scale(Rcpp::RObject, Rcpp::RObject)’:
compute_scale.cpp:21:35: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
   21 |         if (numeric_centers.size()!=ncols) {
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from compute_scale.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o BiocSingular.so RcppExports.o compute_scale.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-BiocSingular/00new/BiocSingular/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (BiocSingular)
* installing *source* package ‘SingleCellExperiment’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (SingleCellExperiment)
* installing *source* package ‘scuttle’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c cumulative_prop.cpp -o cumulative_prop.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from cumulative_prop.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c downsample_counts.cpp -o downsample_counts.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from downsample_counts.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c fit_linear_model.cpp -o fit_linear_model.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from fit_linear_model.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c pool_size_factors.cpp -o pool_size_factors.o
pool_size_factors.cpp: In function ‘Rcpp::List pool_size_factors(Rcpp::RObject, Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::IntegerVector)’:
pool_size_factors.cpp:56:15: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   56 |     if (ngenes!=pseudo_cell.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~
pool_size_factors.cpp:61:22: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘long unsigned int’ [-Wsign-compare]
   61 |     if (order.size() < ncells*2-1)  {
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~
pool_size_factors.cpp:170:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare]
  170 |                     for (auto i=0; i<n; ++i, ++val, ++rows) {
      |                                    ~^~
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from pool_size_factors.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c sum_counts.cpp -o sum_counts.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from sum_counts.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include/ -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c utils.cpp -o utils.o
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o scuttle.so RcppExports.o cumulative_prop.o downsample_counts.o fit_linear_model.o pool_size_factors.o sum_counts.o utils.o -L/opt/R-rc/lib/R/lib -lRlapack -L/opt/R-rc/lib/R/lib -lRblas -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-scuttle/00new/scuttle/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (scuttle)
* installing *source* package ‘scater’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (scater)
* installing *source* package ‘scran’ ...
** using staged installation
** libs
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c choose_effect_size.cpp -o choose_effect_size.o
choose_effect_size.cpp: In instantiation of ‘size_t instantiate_list(Rcpp::List, std::vector<T>&, std::string) [with V = Rcpp::Vector<13>; size_t = long unsigned int; Rcpp::List = Rcpp::Vector<19>; std::string = std::__cxx11::basic_string<char>]’:
choose_effect_size.cpp:38:67:   required from here
choose_effect_size.cpp:13:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
   13 |     for (size_t c=0; c<input.size(); ++c) {
      |                      ~^~~~~~~~~~~~~
choose_effect_size.cpp: In instantiation of ‘size_t instantiate_list(Rcpp::List, std::vector<T>&, std::string) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; size_t = long unsigned int; Rcpp::List = Rcpp::Vector<19>; std::string = std::__cxx11::basic_string<char>]’:
choose_effect_size.cpp:67:70:   required from here
choose_effect_size.cpp:13:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c combine_rho.cpp -o combine_rho.o
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c compute_blocked_stats.cpp -o compute_blocked_stats.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from compute_blocked_stats.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c compute_residual_stats.cpp -o compute_residual_stats.o
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from compute_residual_stats.cpp:2:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c compute_rho_null.cpp -o compute_rho_null.o
In file included from /opt/R-rc/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /opt/R-rc/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /opt/R-rc/lib/R/library/BH/include/boost/random.hpp:70,
                 from rand_custom.h:6,
                 from compute_rho_null.cpp:3:
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c cyclone_scores.cpp -o cyclone_scores.o
In file included from /opt/R-rc/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/algorithm.hpp:29,
                 from cyclone_scores.cpp:4:
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from cyclone_scores.cpp:3:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c overlap_exprs.cpp -o overlap_exprs.o
overlap_exprs.cpp: In function ‘Rcpp::NumericMatrix overlap_exprs_paired(Rcpp::RObject, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::List, double)’:
overlap_exprs.cpp:214:27: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  214 |         for (size_t i=0; i<left.size(); ++i, ++oIt) {
      |                          ~^~~~~~~~~~~~
overlap_exprs.cpp:202:18: warning: unused variable ‘ngroups’ [-Wunused-variable]
  202 |     const size_t ngroups=groups.size();
      |                  ^~~~~~~
In file included from /home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:12,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:11,
                 from /home/omnipath/local/R/beachmat/include/beachmat3/beachmat.h:24,
                 from overlap_exprs.cpp:3:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:36:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:38:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader<V, TIT>::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’:
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:561:56:   required from ‘beachmat::lin_SparseArraySeed<V, TIT>::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:40:39:   required from ‘std::unique_ptr<_Codecvt> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = beachmat::lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl<Rcpp::PreserveStorage>]’
/home/omnipath/local/R/beachmat/include/beachmat3/read_lin_block.h:65:63:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare]
  535 |         if (nnz != x.size()) {
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                       ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  551 |                     if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) {
      |                                                                   ~~~~~~^~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare]
  593 |                 for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) {
      |                                 ~~^~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
  250 |             if (idex != *pIt && static_cast<size_t>(i[idex]) == r) {
      |                 ~~~~~^~~~~~~
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:596:82:   required from ‘beachmat::sparse_index<const int*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:595:35:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index<OUT, I> beachmat::Csparse_core<TIT, I, P>::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’:
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:650:73:   required from ‘beachmat::sparse_index<OUT, int> beachmat::SparseArraySeed_reader<V, TIT>::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:602:85:   required from ‘beachmat::sparse_index<const double*, int> beachmat::lin_SparseArraySeed<V, TIT>::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’
/home/omnipath/local/R/beachmat/include/beachmat3/lin_matrix.h:601:38:   required from here
/home/omnipath/local/R/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare]
g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG  -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/home/omnipath/local/R/beachmat/include' -I'/opt/R-rc/lib/R/library/BH/include' -I'/opt/R-rc/lib/R/library/dqrng/include' -I'/home/omnipath/local/R/scuttle/include' -I/usr/local/include   -fpic  -Wall -pedantic  -c rand_custom.cpp -o rand_custom.o
In file included from /opt/R-rc/lib/R/library/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/arg.hpp:25,
                 from /opt/R-rc/lib/R/library/BH/include/boost/mpl/placeholders.hpp:24,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_categories.hpp:16,
                 from /opt/R-rc/lib/R/library/BH/include/boost/iterator/iterator_concepts.hpp:10,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/concepts.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/size_type.hpp:20,
                 from /opt/R-rc/lib/R/library/BH/include/boost/range/size.hpp:21,
                 from /opt/R-rc/lib/R/library/BH/include/boost/random/hyperexponential_distribution.hpp:29,
                 from /opt/R-rc/lib/R/library/BH/include/boost/random.hpp:70,
                 from rand_custom.h:6,
                 from rand_custom.cpp:1:
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^
/opt/R-rc/lib/R/library/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^
g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o scran.so RcppExports.o choose_effect_size.o combine_rho.o compute_blocked_stats.o compute_residual_stats.o compute_rho_null.o cyclone_scores.o overlap_exprs.o rand_custom.o -L/opt/R-rc/lib/R/lib -lRlapack -L/opt/R-rc/lib/R/lib -lRblas -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-scran/00new/scran/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (scran)

The downloaded source packages are in
	‘/tmp/Rtmp17rUrb/downloaded_packages’
Downloading GitHub repo saezlab/OmnipathR@HEAD
cli       (3.2.0 -> 3.3.0) [CRAN]
tibble    (3.1.6 -> 3.1.7) [CRAN]
dplyr     (1.0.8 -> 1.0.9) [CRAN]
httr      (1.4.2 -> 1.4.3) [CRAN]
checkmate (2.0.0 -> 2.1.0) [CRAN]
Installing 5 packages: cli, tibble, dplyr, httr, checkmate
trying URL 'https://cloud.r-project.org/src/contrib/cli_3.3.0.tar.gz'
Content type 'application/x-gzip' length 495823 bytes (484 KB)
==================================================
downloaded 484 KB

trying URL 'https://cloud.r-project.org/src/contrib/tibble_3.1.7.tar.gz'
Content type 'application/x-gzip' length 674873 bytes (659 KB)
==================================================
downloaded 659 KB

trying URL 'https://cloud.r-project.org/src/contrib/dplyr_1.0.9.tar.gz'
Content type 'application/x-gzip' length 957637 bytes (935 KB)
==================================================
downloaded 935 KB

trying URL 'https://cloud.r-project.org/src/contrib/httr_1.4.3.tar.gz'
Content type 'application/x-gzip' length 161122 bytes (157 KB)
==================================================
downloaded 157 KB

trying URL 'https://cloud.r-project.org/src/contrib/checkmate_2.1.0.tar.gz'
Content type 'application/x-gzip' length 170034 bytes (166 KB)
==================================================
downloaded 166 KB

* installing *source* package ‘cli’ ...
** package ‘cli’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c ansi.c -o ansi.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c cleancall.c -o cleancall.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c diff.c -o diff.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c errors.c -o errors.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c md5.c -o md5.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c progress-altrep.c -o progress-altrep.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c progress.c -o progress.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c sha256.c -o sha256.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c thread.c -o thread.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c tty.c -o tty.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c utf8.c -o utf8.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c win-utf8.c -o win-utf8.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c winfiles.c -o winfiles.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o cli.so ansi.o cleancall.o diff.o errors.o init.o md5.o progress-altrep.o progress.o sha256.o thread.o tty.o utf8.o win-utf8.o winfiles.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-cli/00new/cli/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (cli)
* installing *source* package ‘tibble’ ...
** package ‘tibble’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c attributes.c -o attributes.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c coerce.c -o coerce.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c matrixToDataFrame.c -o matrixToDataFrame.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-tibble/00new/tibble/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (tibble)
* installing *source* package ‘httr’ ...
** package ‘httr’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (httr)
* installing *source* package ‘checkmate’ ...
** package ‘checkmate’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c all_missing.c -o all_missing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_infinite.c -o any_infinite.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_missing.c -o any_missing.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c any_nan.c -o any_nan.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c checks.c -o checks.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c find_nchar.c -o find_nchar.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c guess_type.c -o guess_type.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c helper.c -o helper.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c init.c -o init.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c integerish.c -o integerish.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c is_sorted.c -o is_sorted.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c qassert.c -o qassert.o
gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -std=gnu99 -Wall -pedantic  -c which_first.c -o which_first.o
gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-checkmate/00new/checkmate/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (checkmate)
* installing *source* package ‘dplyr’ ...
** package ‘dplyr’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c chop.cpp -o chop.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c filter.cpp -o filter.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c funs.cpp -o funs.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c group_by.cpp -o group_by.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c group_data.cpp -o group_data.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c imports.cpp -o imports.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c init.cpp -o init.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c mask.cpp -o mask.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c mutate.cpp -o mutate.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c slice.cpp -o slice.o
g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG   -I/usr/local/include   -fpic  -Wall -pedantic  -c summarise.cpp -o summarise.o
g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o slice.o summarise.o -L/opt/R-rc/lib/R/lib -lR
installing to /home/omnipath/local/R/00LOCK-dplyr/00new/dplyr/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (dplyr)

The downloaded source packages are in
	‘/tmp/Rtmp17rUrb/downloaded_packages’
* checking for file ‘/tmp/Rtmp17rUrb/remotesecd1f24031088/saezlab-OmnipathR-948e10a/DESCRIPTION’ ... OK
* preparing ‘OmnipathR’:
* checking DESCRIPTION meta-information ... OK
* checking for LF line-endings in source and make files and shell scripts
* checking for empty or unneeded directories
* looking to see if a ‘data/datalist’ file should be added
* building ‘OmnipathR_3.5.0.tar.gz’

* installing *source* package ‘OmnipathR’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
[2022-05-04 13:31:11] [INFO]    [OmnipathR] Setting up new cache directory `/home/omnipath/.cache/OmnipathR`.
[2022-05-04 13:31:11] [INFO]    [OmnipathR] Initialized cache: `/home/omnipath/.cache/OmnipathR`.
[2022-05-04 13:31:11] [TRACE]   [OmnipathR] Running on a build server, wiping cache.
[2022-05-04 13:31:11] [SUCCESS] [OmnipathR] Removing all cache contents from `/home/omnipath/.cache/OmnipathR`.
[2022-05-04 13:31:11] [INFO]    [OmnipathR] Welcome to OmnipathR!
[2022-05-04 13:31:11] [TRACE]   [OmnipathR] Cache locked: FALSE
** testing if installed package can be loaded from final location
[2022-05-04 13:31:13] [INFO]    [OmnipathR] Initialized cache: `/home/omnipath/.cache/OmnipathR`.
[2022-05-04 13:31:13] [TRACE]   [OmnipathR] Running on a build server, wiping cache.
[2022-05-04 13:31:13] [SUCCESS] [OmnipathR] Removing all cache contents from `/home/omnipath/.cache/OmnipathR`.
[2022-05-04 13:31:13] [INFO]    [OmnipathR] Welcome to OmnipathR!
[2022-05-04 13:31:13] [TRACE]   [OmnipathR] Cache locked: FALSE
** testing if installed package keeps a record of temporary installation path
* DONE (OmnipathR)
[ Finished: 2022-05-04 13:31:13 ]