[ Started: 2022-04-25 13:34:03 ] cli (3.2.0 -> 3.3.0 ) [CRAN] ps (1.6.0 -> 1.7.0 ) [CRAN] GenomeInfoDb (1.31.7 -> 1.31.10) [CRAN] RSpectra (0.16-0 -> 0.16-1 ) [CRAN] parallelly (1.31.0 -> 1.31.1 ) [CRAN] future (1.24.0 -> 1.25.0 ) [CRAN] gplots (3.1.1 -> 3.1.3 ) [CRAN] BiocManager (1.30.16 -> 1.30.17) [CRAN] pkgdown (2.0.2 -> 2.0.3 ) [CRAN] Installing 9 packages: cli, ps, GenomeInfoDb, RSpectra, parallelly, future, gplots, BiocManager, pkgdown 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/ps_1.7.0.tar.gz' Content type 'application/x-gzip' length 125455 bytes (122 KB) ================================================== downloaded 122 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/GenomeInfoDb_1.31.10.tar.gz' Content type 'application/x-gzip' length 3452600 bytes (3.3 MB) ================================================== downloaded 3.3 MB trying URL 'https://cloud.r-project.org/src/contrib/RSpectra_0.16-1.tar.gz' Content type 'application/x-gzip' length 127048 bytes (124 KB) ================================================== downloaded 124 KB trying URL 'https://cloud.r-project.org/src/contrib/parallelly_1.31.1.tar.gz' Content type 'application/x-gzip' length 121211 bytes (118 KB) ================================================== downloaded 118 KB trying URL 'https://cloud.r-project.org/src/contrib/future_1.25.0.tar.gz' Content type 'application/x-gzip' length 359794 bytes (351 KB) ================================================== downloaded 351 KB trying URL 'https://cloud.r-project.org/src/contrib/gplots_3.1.3.tar.gz' Content type 'application/x-gzip' length 520683 bytes (508 KB) ================================================== downloaded 508 KB trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.17.tar.gz' Content type 'application/x-gzip' length 287948 bytes (281 KB) ================================================== downloaded 281 KB trying URL 'https://cloud.r-project.org/src/contrib/pkgdown_2.0.3.tar.gz' Content type 'application/x-gzip' length 858594 bytes (838 KB) ================================================== downloaded 838 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 ‘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 ‘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 ‘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 { 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 { 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 { 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 | ^ /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 | ^ /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 | ^ /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& 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& 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& 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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 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::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, 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, 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, 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, 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, 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’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54: required from ‘class Eigen::SparseLU >’ ../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::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::Matrix, -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, -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, -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, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -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::Matrix, -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::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 >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, -1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:118:26: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:35: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, true>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:165:41: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, false>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:166:56: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, 1, true>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:182:28: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:182:48: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’: ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Map >; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Map >]’ 216 | EIGEN_DEVICE_FUNC inline Ref(const DenseBase& 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::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 129 | void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref 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::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 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 >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 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 >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:40: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -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, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:208:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:208:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Block, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -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, const Eigen::Block, -1, 1, false> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:209:55: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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::Block, -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::Block, -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, -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, -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, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:41: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /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 >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:37:30: required from ‘class Spectra::UpperHessenbergEigen’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::ArrayWrapper, -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 >, const Eigen::ArrayWrapper, -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 >, const Eigen::ArrayWrapper, -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 >, const Eigen::ArrayWrapper, -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 >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >’ ../inst/include/Spectra/GenEigsBase.h:147:67: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:373:21: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/include/Spectra/GenEigsBase.h:147:28: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:373:21: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/GenEigsBase.h:147:28: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:373:21: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/GenEigsBase.h:147:28: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:373:21: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp >, const Eigen::ArrayWrapper, -1, 1>, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/GenEigsBase.h:148:60: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:373:21: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/Spectra/LinAlg/DoubleShiftQR.h:38:14: required from ‘class Spectra::DoubleShiftQR’ ../inst/include/Spectra/GenEigsBase.h:98:31: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/GenEigsBase.h:118:17: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/GenEigsBase.h:118:17: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’: ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::Ref(Eigen::PlainObjectBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Matrix]’ 209 | EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase& 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::apply_YQ(Spectra::DoubleShiftQR::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR::GenericMatrix = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::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, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:74:30: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:17: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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, 0, Eigen::OuterStride<> >, -1, -1, false>’ ../inst/include/Spectra/LinAlg/DoubleShiftQR.h:369:13: required from ‘void Spectra::DoubleShiftQR::apply_YQ(Spectra::DoubleShiftQR::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR::GenericMatrix = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:118:17: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 0, Eigen::OuterStride<> > >::match, 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 Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ ../inst/include/Spectra/LinAlg/DoubleShiftQR.h:369:13: required from ‘void Spectra::DoubleShiftQR::apply_YQ(Spectra::DoubleShiftQR::GenericMatrix) const [with Scalar = double; Spectra::DoubleShiftQR::GenericMatrix = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:118:17: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -1, -1, true>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Map >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:57: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, 1, true>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:271:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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::Block, -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::Block, -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::Block, -1, 1, true>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:271:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:29: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:70: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:51: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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 >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 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::Map >, 2, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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&) [with Derived = Eigen::Matrix; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::Map >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:107:9: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:132:13: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 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, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:220:45: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:47: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Spectra/LinAlg/DoubleShiftQR.h:124:13: required from ‘void Spectra::DoubleShiftQR::update_block(Spectra::DoubleShiftQR::Index, Spectra::DoubleShiftQR::Index) [with Scalar = double; Spectra::DoubleShiftQR::Index = long int]’ ../inst/include/Spectra/LinAlg/DoubleShiftQR.h:329:13: required from ‘void Spectra::DoubleShiftQR::compute(Spectra::DoubleShiftQR::ConstGenericMatrix&, const Scalar&, const Scalar&) [with Scalar = double; Spectra::DoubleShiftQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:115:17: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:125:23: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:135:20: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:55:113: required from ‘void Spectra::UpperHessenbergEigen::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Block, -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, -1, -1, true>, Eigen::Block, -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, -1, -1, true>, Eigen::Block, -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, -1, -1, true>, Eigen::Block, -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, -1, -1, true>, Eigen::Block, -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, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:193:53: required from ‘void Spectra::UpperHessenbergEigen::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase::normalize() [with Derived = Eigen::Block, -1, -1>, -1, 1, true>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:296:17: required from ‘Spectra::UpperHessenbergEigen::ComplexMatrix Spectra::UpperHessenbergEigen::eigenvectors() [with Scalar = double; Spectra::UpperHessenbergEigen::ComplexMatrix = Eigen::Matrix, -1, -1>]’ ../inst/include/Spectra/GenEigsBase.h:190:23: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:42: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::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, -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, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; 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, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:182:38: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:209:20: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:220:22: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Block, -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, const Eigen::Block, -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, const Eigen::Block, -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, const Eigen::Block, -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, const Eigen::Block, -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; typename MatrixType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Vector3s = Eigen::Matrix; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 2, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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; Eigen::RealSchur<_MatrixType>::Index = long int; Eigen::RealSchur<_MatrixType>::Vector3s = Eigen::Matrix; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -1, -1, true>, Eigen::Map >, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Map >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Map >, 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, -1, 1, true>; Src = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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::Block, -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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Block, -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, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:271:31: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/GenEigsBase.h:137:9: required from ‘void Spectra::GenEigsBase::restart(Spectra::GenEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:378:13: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Matrix >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -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::Matrix >, -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::Matrix >, -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 >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 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::Matrix >, 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::Matrix >, 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::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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::Block, -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::Block, -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::Block, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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, -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::Block, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, 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, 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, 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, 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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -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::doComputeEigenvectors() [with Scalar = double]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:264:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 393 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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::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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 628 | typedef DoublePacket 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 630 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 631 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 633 | typedef typename conditional::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, -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, -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, const Eigen::Block, -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, const Eigen::Block, -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, const Eigen::Block, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -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::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -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; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -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::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -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; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Block, 2, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 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, const Eigen::Block, 2, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Block, 1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 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, const Eigen::Block, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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=8,typename unpacket_traits::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=8,typename unpacket_traits::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:125:23: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:135:20: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:327:9: required from ‘void Spectra::GenEigsBase::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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 >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Block, -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; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Block, -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; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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 >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Block, -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; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 694 | dest = pload((const typename unpacket_traits::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>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 699 | dest = ploadu((const typename unpacket_traits::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, 1, false, double, Eigen::internal::const_blas_data_mapper, 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 > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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 >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Block, -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; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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; typename MatrixType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, 2, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 2, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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; 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; 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::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = std::complex; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; Eigen::internal::generic_product_impl::Scalar = std::complex]’ /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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; int Options = 0; Scalar = std::complex; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, -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, -1, -1>; Src = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; Func = Eigen::internal::assign_op, std::complex >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; ExpressionType = Eigen::Matrix, -1, -1>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/GenEigsBase.h:462:23: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors(Spectra::GenEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -1, -1>; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:472:34: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 778 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, 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, long int, Eigen::internal::blas_data_mapper, 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::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = std::complex]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, 0, 1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, std::complex, -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, long int, Eigen::internal::general_matrix_matrix_product, 0, false, 0, 1>, Eigen::Matrix, Eigen::Matrix, -1, -1>, Eigen::Matrix, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, std::complex, -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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; int Options = 0; Scalar = std::complex; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, -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, -1, -1>; Src = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; Func = Eigen::internal::assign_op, std::complex >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; ExpressionType = Eigen::Matrix, -1, -1>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/GenEigsBase.h:462:23: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors(Spectra::GenEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -1, -1>; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:472:34: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 498 | typedef typename conditional::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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 > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:197:13: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:367:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper 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::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, -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::Block, -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::Block, -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::Block, -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::Block, -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::Block, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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, -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::Block, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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&) [with Derived = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, -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, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; 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, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; 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; Src = Eigen::Block, 2, 1, false>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [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::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::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Dest = Eigen::Block, 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, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock 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, 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, 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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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 >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; 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; Src = Eigen::Block, 3, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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; Src = Eigen::Block, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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::Block, -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::Block, -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, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 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, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 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 >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 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, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 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 >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; int Options = 0; Scalar = std::complex; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, -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, -1, -1>; Src = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; Func = Eigen::internal::assign_op, std::complex >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; ExpressionType = Eigen::Matrix, -1, -1>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/GenEigsBase.h:462:23: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors(Spectra::GenEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -1, -1>; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:472:34: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -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::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, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 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, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; int Options = 0; Scalar = std::complex; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, -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, -1, -1>; Src = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; Func = Eigen::internal::assign_op, std::complex >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; ExpressionType = Eigen::Matrix, -1, -1>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/GenEigsBase.h:462:23: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors(Spectra::GenEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -1, -1>; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:472:34: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, 1, false>; Derived = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, 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, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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 >, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, std::complex >’ /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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix, -1, -1>; int Options = 0; Scalar = std::complex; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, -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, -1, -1>; Src = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; Func = Eigen::internal::assign_op, std::complex >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, -1, -1>, 0>; ExpressionType = Eigen::Matrix, -1, -1>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/GenEigsBase.h:462:23: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors(Spectra::GenEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -1, -1>; Spectra::GenEigsBase::Index = long int]’ ../inst/include/Spectra/GenEigsBase.h:472:34: required from ‘Spectra::GenEigsBase::ComplexMatrix Spectra::GenEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::ComplexMatrix = Eigen::Matrix, -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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, 1, 1, false>; Src = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, 1, 2, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 1, 2, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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, -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, -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, -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, -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, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 1, 2, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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 >, 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 >, 1, 2, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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 >, 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 >, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, 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, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 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, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -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, -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, -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, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 2, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -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, -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, -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, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, 1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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 >, 1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 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, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::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& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:224:9: required from ‘void Spectra::UpperHessenbergEigen::compute(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergEigen.h:207:9: required from ‘Spectra::UpperHessenbergEigen::UpperHessenbergEigen(Spectra::UpperHessenbergEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::UpperHessenbergEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/GenEigsBase.h:188:38: required from ‘void Spectra::GenEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/GenEigsBase.h:368:9: required from ‘Spectra::GenEigsBase::Index Spectra::GenEigsBase::compute(Spectra::GenEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::GenEigsBase::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::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, -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, -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, -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, -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, -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::Block, -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::Block, -1, -1>, -1, 1, true> >’ ../inst/include/Spectra/GenEigsComplexShiftSolver.h:88:55: required from ‘void Spectra::GenEigsComplexShiftSolver::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::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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -1, -1>, -1, 1, true> >, 0>’ ../inst/include/Spectra/GenEigsComplexShiftSolver.h:88:55: required from ‘void Spectra::GenEigsComplexShiftSolver::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::type’ {aka ‘__vector(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, -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, -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, -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, -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, -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::Block, -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::Block, -1, -1>, -1, 1, true> >’ ../inst/include/Spectra/GenEigsComplexShiftSolver.h:89:55: required from ‘void Spectra::GenEigsComplexShiftSolver::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::type’ {aka ‘__vector(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::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -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::CwiseUnaryView >, Eigen::Block, -1, -1>, -1, 1, true> >, 0>’ ../inst/include/Spectra/GenEigsComplexShiftSolver.h:89:55: required from ‘void Spectra::GenEigsComplexShiftSolver::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::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 { 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 { 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 { 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 | ^ /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 | ^ /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 | ^ /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& 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& 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& 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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 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::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, 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, 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, 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, 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, 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’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54: required from ‘class Eigen::SparseLU >’ ../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::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::Matrix, -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, -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, -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, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -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::Matrix, -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::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 >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, -1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:118:26: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:35: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, true>’ ../inst/include/Spectra/LinAlg/Lanczos.h:78:41: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, false>’ ../inst/include/Spectra/LinAlg/Lanczos.h:79:56: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:96:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:112:55: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:112:39: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, 1, true>’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:59: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:59: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:39: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:80: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -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, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’: ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Block, -1, 1, false>]’ 216 | EIGEN_DEVICE_FUNC inline Ref(const DenseBase& 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::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 129 | void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref 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, const Eigen::Block, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -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, const Eigen::Block, -1, 1, false> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:55: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:41: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, 1, true>’ ../inst/include/Spectra/SymEigsBase.h:185:41: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ../inst/include/Spectra/SymEigsBase.h:115:61: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -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, const Eigen::ArrayWrapper, -1, 1, false> > >’ ../inst/include/Spectra/SymEigsBase.h:115:67: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:115:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/SymEigsBase.h:115:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/SymEigsBase.h:115:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:116:61: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/SymEigsBase.h:98:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:98:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’: ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::Ref(Eigen::PlainObjectBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Matrix]’ 209 | EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase& 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::apply_YQ(Spectra::UpperHessenbergQR::GenericMatrix) const [with Scalar = double; Spectra::UpperHessenbergQR::GenericMatrix = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::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::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 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, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/SymEigsBase.h:430:42: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::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, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:287:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:288:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:74:30: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:43: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:540:28: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Map >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:57: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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::Block, -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::Block, -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::Block, -1, 1, true>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:271:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:29: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:70: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:51: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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 >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 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::Map >, 2, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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&) [with Derived = Eigen::Matrix; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::Map >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:73:13: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:73:13: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:134:65: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:135:67: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:146:48: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:147:49: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:656:26: required from ‘void Spectra::TridiagQR::matrix_QtHQ(Spectra::TridiagQR::Matrix&) const [with Scalar = double; Spectra::TridiagQR::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:162:9: required from ‘void Spectra::Lanczos::compress_H(const Spectra::TridiagQR&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp]’ ../inst/include/Spectra/SymEigsBase.h:102:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:125:23: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:135:20: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 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::ArrayWrapper(ExpressionType&) [with ExpressionType = const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:320:100: required from ‘const Eigen::ArrayWrapper Eigen::MatrixBase::array() const [with Derived = Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:42: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >; Functor = Eigen::internal::assign_op; 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; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:20: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::tridiagonal_qr_step(Spectra::TridiagEigen::RealScalar*, Spectra::TridiagEigen::RealScalar*, Spectra::TridiagEigen::Index, Spectra::TridiagEigen::Index, Scalar*, Spectra::TridiagEigen::Index) [with Scalar = double; Spectra::TridiagEigen::RealScalar = double; Spectra::TridiagEigen::Index = long int]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:186:32: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, -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, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; 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, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:185:41: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, -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, -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, -1, -1, true>, Eigen::Map >, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Map >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Map >, 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, -1, 1, true>; Src = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, const Eigen::Matrix >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -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::Matrix >, -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::Matrix >, -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 >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 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::Matrix >, 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::Matrix >, 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::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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, 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&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 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::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:103:17: required from ‘static void Spectra::TridiagEigen::tridiagonal_qr_step(Spectra::TridiagEigen::RealScalar*, Spectra::TridiagEigen::RealScalar*, Spectra::TridiagEigen::Index, Spectra::TridiagEigen::Index, Scalar*, Spectra::TridiagEigen::Index) [with Scalar = double; Spectra::TridiagEigen::RealScalar = double; Spectra::TridiagEigen::Index = long int]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:186:32: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 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, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 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, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::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’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 393 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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::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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 628 | typedef DoublePacket 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 630 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 631 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 633 | typedef typename conditional::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, 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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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=8,typename unpacket_traits::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=8,typename unpacket_traits::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:125:23: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:135:20: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 694 | dest = pload((const typename unpacket_traits::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>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 699 | dest = ploadu((const typename unpacket_traits::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, -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, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; 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, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:79:9: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 1, false, double, Eigen::internal::const_blas_data_mapper, 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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper 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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [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::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::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; 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, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock 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&) [with Derived = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, 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, 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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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 >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::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, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 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, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, 1, false>; Derived = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, 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, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:440:34: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors() const [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix]’ 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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, 1, 1, false>; Src = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -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, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >’ ../inst/include/Spectra/SymEigsShiftSolver.h:170:44: required from ‘void Spectra::SymEigsShiftSolver::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::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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/SymEigsShiftSolver.h:170:89: required from ‘void Spectra::SymEigsShiftSolver::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::type’ {aka ‘__vector(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 >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 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 >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 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 >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:40: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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, -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, -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, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:41: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = RealShift]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = RealShift]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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 { 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 { 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 { 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 | ^ /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 | ^ /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 | ^ /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& 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& 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& 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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 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::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, 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, 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, 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, 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, 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, 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::nonZeros() const [with Derived = Eigen::Map >; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; 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::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&) [with Derived = Eigen::Map, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::Map >; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:163:21: required from ‘Eigen::SparseCompressedBase::InnerIterator::InnerIterator(const Eigen::SparseCompressedBase&, Eigen::Index) [with Derived = Eigen::Map >; 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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::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 { 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 { 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 { 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 | ^ /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 | ^ /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 | ^ /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& 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& 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& 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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 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::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, 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, 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, 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, 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, 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’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54: required from ‘class Eigen::SparseLU >’ ../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::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, -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, -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, -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, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -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::Matrix, -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::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 >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, -1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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 >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 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::Map >, 2, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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&) [with Derived = Eigen::Matrix; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::Map >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseBase::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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -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::Matrix >, -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::Matrix >, -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 >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 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::Matrix >, 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::Matrix >, 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::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 393 | typedef typename conditional::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, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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::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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 628 | typedef DoublePacket 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 630 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 631 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 633 | typedef typename conditional::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, 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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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=8,typename unpacket_traits::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=8,typename unpacket_traits::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, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 694 | dest = pload((const typename unpacket_traits::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>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 699 | dest = ploadu((const typename unpacket_traits::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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&) [with Derived = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [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::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::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Dest = Eigen::Block, 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, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock 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, 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, 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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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 >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, 1, false>; Derived = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, 1, 1, false>; Src = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, const Eigen::Solve, 0> >, Eigen::Matrix, -1, 1> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Solve, 0> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Solve, 0> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Solve, 0> >, Eigen::Matrix, -1, 1> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Solve, 0> >, Eigen::Matrix, -1, 1> > >’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:56:49: required from ‘void ComplexShift_sparseMatrix::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::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 > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:35: required from ‘void RealShift_sym_sparseMatrix::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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:34:15: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36: required from ‘void RealShift_sparseMatrix::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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28: required from ‘void RealShift_sparseMatrix::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::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::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:35: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:36: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:28: required from ‘void RealShift_sparseMatrix::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::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 >, 1>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:39:72: required from ‘void MatProd_sym_sparseMatrix::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::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 >, 2>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 2>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 2>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 2>, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:41:72: required from ‘void MatProd_sym_sparseMatrix::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::type’ {aka ‘__vector(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 >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 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 >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 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 >, 0>’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:36:27: required from ‘void MatProd_sparseMatrix::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::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 > > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39: required from ‘void MatProd_sparseMatrix::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::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::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 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 >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 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 >, 0>’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39: required from ‘void MatProd_sparseMatrix::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::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, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:39:72: required from ‘void MatProd_sym_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sym_sparseMatrix.h:41:72: required from ‘void MatProd_sym_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:36:27: required from ‘void MatProd_sparseMatrix::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::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, 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, 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, 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, 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, 0, Eigen::Stride<0, 0> > >’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39: required from ‘void MatProd_sparseMatrix::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::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, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>’ ../inst/include/RMatOp/MatProd_sparseMatrix.h:43:39: required from ‘void MatProd_sparseMatrix::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:57: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Map > >, Eigen::internal::IteratorBased, std::complex >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Map > > >’ /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&) [with OtherDerived = Eigen::CwiseUnaryOp >, const Eigen::Map > >; _Scalar = std::complex; int _Options = 1; _StorageIndex = int]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:38:16: required from ‘void ComplexShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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, 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; int _Options = 1; _StorageIndex = int]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:42:9: required from ‘void ComplexShift_sparseMatrix::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::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, 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, 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, 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, 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 >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, std::complex >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Map, 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&) [with OtherDerived = Eigen::CwiseUnaryOp >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = std::complex; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:38:16: required from ‘void ComplexShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:495:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:65:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, 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, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:495:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:65:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, 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, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Block, -1, 1, false>]’ 216 | EIGEN_DEVICE_FUNC inline Ref(const DenseBase& 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::column_dfs(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::Index, Eigen::Index&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = std::complex; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix, -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, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’: /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Block, -1, 1, false>]’ 216 | EIGEN_DEVICE_FUNC inline Ref(const DenseBase& 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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 53 | Index SparseLUImpl::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _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&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:9: required from ‘void RealShift_sparseMatrix::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:386:42: required from ‘Derived& Eigen::DenseBase::setLinSpaced(Eigen::Index, const Scalar&, const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int; Eigen::DenseBase::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:406:40: required from ‘Derived& Eigen::DenseBase::setLinSpaced(const Scalar&, const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::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; int _Options = 1; _StorageIndex = int]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:42:9: required from ‘void ComplexShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::nonZeros() const [with Derived = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::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, 16, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 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, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 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, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -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, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -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, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -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, 0, Eigen::OuterStride<> >, Eigen::Block, -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, 0, Eigen::OuterStride<> >, Eigen::Block, -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, 0, Eigen::OuterStride<> >, Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 5> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:170:29: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /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::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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, const Eigen::Matrix > >, Eigen::Map >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Map >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Map >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Map >, 1, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Map >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Map >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:46: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: required from ‘struct Eigen::internal::traits >, 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::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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 >, 6> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView >, 6>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:176:29: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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 >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 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::Map >, 2, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:179:23: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 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, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >’ /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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -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 >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(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 >, -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::Block >, -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::Block >, -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::Block >, -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::Block >, -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::Block >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(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 >, -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::Block >, -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::Block >, -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::Block >, -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::Block >, -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::Block >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /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]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:65:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, Eigen::AMDOrdering::PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; Eigen::AMDOrdering::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::ordering(const MatrixType&, const CholMatrixType*&, Eigen::SimplicialCholeskyBase::CholMatrixType&) [with Derived = Eigen::SimplicialLDLT >; Eigen::SimplicialCholeskyBase::MatrixType = Eigen::SparseMatrix; Eigen::SimplicialCholeskyBase::ConstCholMatrixPtr = const Eigen::SparseMatrix*; Eigen::SimplicialCholeskyBase::CholMatrixType = Eigen::SparseMatrix; typename Eigen::internal::traits::MatrixType::StorageIndex = int; typename Eigen::internal::traits::MatrixType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:200:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT >; Eigen::SimplicialCholeskyBase::MatrixType = Eigen::SparseMatrix]’ /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; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:39:20: required from ‘void RealShift_sym_sparseMatrix::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::OuterStride<> >; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:750:11: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Map >; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 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, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 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, 0, Eigen::OuterStride<> >, Eigen::Map, 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, 0, Eigen::OuterStride<> >, Eigen::Map, 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, 0, Eigen::OuterStride<> >, Eigen::Map, 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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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&) [with Derived = Eigen::Map, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:36: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 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, 0>; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix, 0>]’ ../inst/include/RMatOp/ComplexShift_sparseMatrix.h:45:16: required from ‘void ComplexShift_sparseMatrix::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::Matrix; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::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&, const typename MatrixType::StorageIndex*) [with int Mode = 1; MatrixType = Eigen::Map >; 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::run(Eigen::SparseMatrix&, const SrcXprType&, const AssignOpType&) [with DestScalar = double; int StorageOrder = 0; DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseSelfAdjointView >, 1>; Functor = Eigen::internal::assign_op; typename DstXprType::StorageIndex = int; Eigen::internal::Assignment::AssignOpType = Eigen::internal::assign_op; 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; Src = Eigen::SparseSelfAdjointView >, 1>; Func = Eigen::internal::assign_op]’ /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; Src = Eigen::SparseSelfAdjointView >, 1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseSelfAdjointView >, 1>; Derived = Eigen::SparseMatrix]’ /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&) [with OtherDerived = Eigen::Map >; 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::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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -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 >, -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::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block >, -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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block >, -1, 1, true>; int Options = 2; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Block >, -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 >, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, true>, 2>; Func = Eigen::internal::assign_op]’ /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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -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 >, -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, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block >, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block >, -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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block >, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block >, -1, 1, true>; int Options = 2; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Block >, -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 >, -1, 1, true>; Src = Eigen::Product >, Eigen::Block >, -1, 1, true>, 2>; Func = Eigen::internal::assign_op]’ /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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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::column_bmod(Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::BlockScalarVector, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::internal::SparseLUImpl::BlockIndexVector, Eigen::Index, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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 >, -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 >, -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 >, -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 >, -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 >, -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 >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -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 >, -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 >, -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 >, -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 >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -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 >, -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 >, -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 >, -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 >, -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 >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; 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 >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, 1, 1, false>; Src = Eigen::Block >, 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::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; Derived = Eigen::SimplicialLDLT >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sym_sparseMatrix.h:49:21: required from ‘void RealShift_sym_sparseMatrix::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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 >, -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 >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -1, 1, true>, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, -1, 1, true>, 1, 1, false>; Src = Eigen::Block >, -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&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Map >; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::SparseLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:45:21: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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, 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, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 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::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; 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::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::ScalarVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::IndexVector&, Eigen::internal::SparseLUImpl::GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; Eigen::internal::SparseLUImpl::ScalarVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::IndexVector = Eigen::Matrix; Eigen::internal::SparseLUImpl::GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ /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; _OrderingType = Eigen::COLAMDOrdering; Eigen::SparseLU<_MatrixType, _OrderingType>::MatrixType = Eigen::SparseMatrix]’ ../inst/include/RMatOp/RealShift_sparseMatrix.h:37:16: required from ‘void RealShift_sparseMatrix::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::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 { 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 { 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 { 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 | ^ /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 | ^ /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 | ^ /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& 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& 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& 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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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 { \ | ^ /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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /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::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 >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::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 > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ ../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::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, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:30: required from ‘struct Eigen::internal::traits > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ ../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::type’ {aka ‘__vector(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 > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 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::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, 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, 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, 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, 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, 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’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:377:54: required from ‘class Eigen::SparseLU >’ ../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::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::Matrix, -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, -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, -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, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, 1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -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::Matrix, -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::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 >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -1, 1> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Solve, -1, -1> >, Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Eigen::ArrayBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, 1, true>’ ../inst/include/Spectra/SymEigsBase.h:425:48: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 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, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/SymEigsBase.h:430:42: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, -1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, true>’ ../inst/include/Spectra/LinAlg/Lanczos.h:78:41: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -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, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -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, -1, -1, false>’ ../inst/include/Spectra/LinAlg/Lanczos.h:79:56: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:96:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:112:55: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:112:39: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:59: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:39: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:114:80: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -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, -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, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 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, 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, 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, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’: ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Block, -1, 1, false>]’ 216 | EIGEN_DEVICE_FUNC inline Ref(const DenseBase& 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::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 129 | void trans_product(const Arg1& x, const Arg2& y, Eigen::Ref 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, const Eigen::Block, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -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, const Eigen::Block, -1, 1, false> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:55: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:41: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ../inst/include/Spectra/SymEigsBase.h:115:61: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -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, const Eigen::ArrayWrapper, -1, 1, false> > >’ ../inst/include/Spectra/SymEigsBase.h:115:67: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:115:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/SymEigsBase.h:115:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:116:61: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(Scalar) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:341:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/SymEigsBase.h:98:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:98:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’: ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::Ref(Eigen::PlainObjectBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Matrix; PlainObjectType = Eigen::Matrix; int Options = 0; StrideType = Eigen::OuterStride<>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::MatchAtCompileTime), Derived>::type = Eigen::Matrix]’ 209 | EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase& 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::apply_YQ(Spectra::UpperHessenbergQR::GenericMatrix) const [with Scalar = double; Spectra::UpperHessenbergQR::GenericMatrix = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::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, const Eigen::Map >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, -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, const Eigen::Map >, const Eigen::Block, -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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::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, -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, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::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::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, 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, 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, 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, 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, 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, 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, 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’ /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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:118:26: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:35: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:126:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:31: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:74:30: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:43: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 0, Eigen::OuterStride<> >, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:540:28: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Map >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Map >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Map >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:57: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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::Block, -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::Block, -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::Block, -1, 1, true>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:271:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:29: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:70: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:274:51: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(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 >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 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::Map >, 2, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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&) [with Derived = Eigen::Matrix; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::Map >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::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::type’ {aka ‘__vector(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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:287:9: required from ‘void Spectra::SymEigsBase::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::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::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 >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:288:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:73:13: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(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, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 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, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 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, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:73:13: required from ‘void Spectra::Arnoldi::expand_basis(Spectra::Arnoldi::MapConstMat&, Spectra::Arnoldi::Index, Spectra::Arnoldi::Vector&, Scalar&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstMat = Eigen::Map >; Spectra::Arnoldi::Index = long int; Spectra::Arnoldi::Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:90:17: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:134:65: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 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, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:135:67: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:146:48: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:147:49: required from ‘void Spectra::TridiagEigen::compute(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:117:9: required from ‘Spectra::TridiagEigen::TridiagEigen(Spectra::TridiagEigen::ConstGenericMatrix&) [with Scalar = double; Spectra::TridiagEigen::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:148:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair() [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:336:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:656:26: required from ‘void Spectra::TridiagQR::matrix_QtHQ(Spectra::TridiagQR::Matrix&) const [with Scalar = double; Spectra::TridiagQR::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:162:9: required from ‘void Spectra::Lanczos::compress_H(const Spectra::TridiagQR&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp]’ ../inst/include/Spectra/SymEigsBase.h:102:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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&) [with Derived = Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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 >, const Eigen::Block, -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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = std::complex; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:107:27: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:116:20: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 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::ArrayWrapper(ExpressionType&) [with ExpressionType = const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:320:100: required from ‘const Eigen::ArrayWrapper Eigen::MatrixBase::array() const [with Derived = Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>]’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:539:51: required from ‘void Spectra::TridiagQR::compute(Spectra::TridiagQR::ConstGenericMatrix&, const Scalar&) [with Scalar = double; Spectra::TridiagQR::ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/include/Spectra/SymEigsBase.h:95:13: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, -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, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; 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, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:425:48: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::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, 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, 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, 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, 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, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::sub_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::sub_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:28: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::ArrayBase::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::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:20: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, -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, -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, -1, -1, true>, Eigen::Map >, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Map >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Map >, 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, -1, 1, true>; Src = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:269:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:105:9: required from ‘void Spectra::SymEigsBase::restart(Spectra::SymEigsBase::Index) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:346:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 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, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -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::Matrix >, -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::Matrix >, -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 >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 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::Matrix >, 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::Matrix >, 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::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Block, 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, const Eigen::Block, 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, const Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Matrix, -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::Matrix, -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::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:130:42: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 393 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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::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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 628 | typedef DoublePacket 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 630 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 631 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 633 | typedef typename conditional::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, 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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; 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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 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&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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=8,typename unpacket_traits::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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’: /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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=8,typename unpacket_traits::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=8,typename unpacket_traits::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:123:23: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:107:27: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Matrix; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:116:20: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 0, false, double, Eigen::internal::const_blas_data_mapper, 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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, const Eigen::Matrix >, -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, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::Matrix >, 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, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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::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::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Map >; 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&) const [with int Side = 1; OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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 >, const Eigen::Matrix, -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 >, const Eigen::Matrix, -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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::Matrix, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::Matrix, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr >, const Eigen::Matrix, -1, -1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::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>, _ConjLhs, _ConjRhs>::loadLhs(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 694 | dest = pload((const typename unpacket_traits::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>, _ConjLhs, _ConjRhs>::loadLhsUnaligned(const LhsScalar*, Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs>::LhsScalar = std::complex; Eigen::internal::gebp_traits, 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::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = std::complex]’ /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::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; 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::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -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&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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&) const [with OtherDerived = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, -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::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = std::complex; 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, -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::compute() [with _MatrixType = Eigen::Matrix, -1, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix, -1, -1>; _MatrixType = Eigen::Matrix, -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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 699 | dest = ploadu((const typename unpacket_traits::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:110:22: required from ‘void Spectra::Arnoldi::init(Spectra::Arnoldi::MapConstVec&, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::MapConstVec = Eigen::Map >; Spectra::Arnoldi::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:297:9: required from ‘void Spectra::SymEigsBase::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, -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, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; 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, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, -1, -1, false>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:79:9: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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, 1, false, double, Eigen::internal::const_blas_data_mapper, 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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::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, 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, 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, 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, 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, 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, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Matrix; 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -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; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/LinAlg/Lanczos.h:141:35: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper 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::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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [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::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::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; 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, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock 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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::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::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::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 >, 1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 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 >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::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, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Dest = Eigen::Ref, 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::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::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::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 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, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:131:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = MatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:13: required from ‘void Spectra::Lanczos::factorize_from(Spectra::Lanczos::Index, Spectra::Lanczos::Index, Spectra::Lanczos::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Lanczos::Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:335:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SymEigsBase::Index, Scalar, int) [with Scalar = double; int SelectionRule = 0; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper 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::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&) [with Derived = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:15: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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, 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, 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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 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 >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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&) const [with OtherDerived = Eigen::Map >; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 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, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::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, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 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, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::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, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, 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, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 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, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/SymEigsBase.h:430:23: required from ‘Spectra::SymEigsBase::Matrix Spectra::SymEigsBase::eigenvectors(Spectra::SymEigsBase::Index) const [with Scalar = double; int SelectionRule = 3; OpType = MatProd; BOpType = Spectra::IdentityBOp; Spectra::SymEigsBase::Matrix = Eigen::Matrix; Spectra::SymEigsBase::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::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, 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; 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, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 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::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, 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, 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, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, 1, false>; Derived = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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 >, 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 >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; 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 >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op]’ /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::value), void*>::type) [with Dst = Eigen::Block >, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::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 >, 1, 1, false>; Src = Eigen::Block >, 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::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map >, 2>; Derived = Eigen::Map >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:11: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; DecType = Eigen::PartialPivLU >; RhsType = Eigen::Map >; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Solve >, Eigen::Map > >]’ /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 >; Src = Eigen::Solve >, Eigen::Map > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; ExpressionType = Eigen::Map >; 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::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, 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, 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, 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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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, 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, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::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::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 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::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; 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::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _MatrixType = Eigen::Matrix]’ ../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::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 >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 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 >, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 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 >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:40: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::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, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Map >, 0> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:200:35: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(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, -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::Block, -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::Block, -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, -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, -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, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:227:41: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; 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::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map >; typename Eigen::NumTraits::Scalar>::Real = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:138:23: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) [with Arg = Eigen::Map >; Scalar = double; OpType = MatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:203:39: required from ‘void Spectra::Arnoldi::factorize_from(Spectra::Arnoldi::Index, Spectra::Arnoldi::Index, Spectra::Arnoldi::Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp; Spectra::Arnoldi::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::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::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 ‘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 ‘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 ‘pkgdown’ ... ** package ‘pkgdown’ 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 (pkgdown) * 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) The downloaded source packages are in ‘/tmp/RtmpyfEg8g/downloaded_packages’ [ Finished: 2022-04-25 13:36:05 ]