[ Started: 2022-05-04 12:54:47 ] cli (3.2.0 -> 3.3.0 ) [CRAN] tibble (3.1.6 -> 3.1.7 ) [CRAN] ps (1.6.0 -> 1.7.0 ) [CRAN] IRanges (2.29.1 -> 2.30.0 ) [CRAN] S4Vectors (0.33.17 -> 0.34.0 ) [CRAN] BiocGenerics (0.41.2 -> 0.42.0 ) [CRAN] MatrixGen... (1.7.0 -> 1.8.0 ) [CRAN] zlibbioc (1.41.0 -> 1.42.0 ) [CRAN] XVector (0.35.0 -> 0.36.0 ) [CRAN] GenomeInfoDb (1.31.7 -> 1.32.1 ) [CRAN] DelayedArray (0.21.2 -> 0.22.0 ) [CRAN] Biobase (2.55.2 -> 2.56.0 ) [CRAN] GenomicRa... (1.47.6 -> 1.48.0 ) [CRAN] RSpectra (0.16-0 -> 0.16-1 ) [CRAN] parallelly (1.31.0 -> 1.31.1 ) [CRAN] rgeos (NA -> 0.5-9 ) [CRAN] sp (NA -> 1.4-7 ) [CRAN] future.apply (1.8.1 -> 1.9.0 ) [CRAN] future (1.24.0 -> 1.25.0 ) [CRAN] ggplot2 (3.3.5 -> 3.3.6 ) [CRAN] dplyr (1.0.8 -> 1.0.9 ) [CRAN] gplots (3.1.1 -> 3.1.3 ) [CRAN] httr (1.4.2 -> 1.4.3 ) [CRAN] knitr (1.38 -> 1.39 ) [CRAN] rmarkdown (2.13 -> 2.14 ) [CRAN] Summarize... (1.25.3 -> 1.26.1 ) [CRAN] SeuratObject (4.0.4 -> 4.1.0 ) [CRAN] leiden (0.3.9 -> 0.3.10 ) [CRAN] BiocManager (1.30.16 -> 1.30.17) [CRAN] testthat (3.1.3 -> 3.1.4 ) [CRAN] SingleCel... (1.17.2 -> 1.18.0 ) [CRAN] Seurat (4.1.0 -> 4.1.1 ) [CRAN] pkgdown (2.0.2 -> 2.0.3 ) [CRAN] BiocStyle (2.23.1 -> 2.24.0 ) [CRAN] viper (1.29.0 -> 1.30.0 ) [CRAN] bcellViper (1.31.0 -> 1.32.0 ) [CRAN] Installing 36 packages: cli, tibble, ps, IRanges, S4Vectors, BiocGenerics, MatrixGenerics, zlibbioc, XVector, GenomeInfoDb, DelayedArray, Biobase, GenomicRanges, RSpectra, parallelly, rgeos, sp, future.apply, future, ggplot2, dplyr, gplots, httr, knitr, rmarkdown, SummarizedExperiment, SeuratObject, leiden, BiocManager, testthat, SingleCellExperiment, Seurat, pkgdown, BiocStyle, viper, bcellViper trying URL 'https://cloud.r-project.org/src/contrib/cli_3.3.0.tar.gz' Content type 'application/x-gzip' length 495823 bytes (484 KB) ================================================== downloaded 484 KB trying URL 'https://cloud.r-project.org/src/contrib/tibble_3.1.7.tar.gz' Content type 'application/x-gzip' length 674873 bytes (659 KB) ================================================== downloaded 659 KB trying URL 'https://cloud.r-project.org/src/contrib/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/IRanges_2.30.0.tar.gz' Content type 'application/x-gzip' length 455708 bytes (445 KB) ================================================== downloaded 445 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/S4Vectors_0.34.0.tar.gz' Content type 'application/x-gzip' length 618611 bytes (604 KB) ================================================== downloaded 604 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/BiocGenerics_0.42.0.tar.gz' Content type 'application/x-gzip' length 45966 bytes (44 KB) ================================================== downloaded 44 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/MatrixGenerics_1.8.0.tar.gz' Content type 'application/x-gzip' length 28262 bytes (27 KB) ================================================== downloaded 27 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/zlibbioc_1.42.0.tar.gz' Content type 'application/x-gzip' length 214249 bytes (209 KB) ================================================== downloaded 209 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/XVector_0.36.0.tar.gz' Content type 'application/x-gzip' length 67787 bytes (66 KB) ================================================== downloaded 66 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/GenomeInfoDb_1.32.1.tar.gz' Content type 'application/x-gzip' length 3452862 bytes (3.3 MB) ================================================== downloaded 3.3 MB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/DelayedArray_0.22.0.tar.gz' Content type 'application/x-gzip' length 643387 bytes (628 KB) ================================================== downloaded 628 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/Biobase_2.56.0.tar.gz' Content type 'application/x-gzip' length 1551809 bytes (1.5 MB) ================================================== downloaded 1.5 MB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/GenomicRanges_1.48.0.tar.gz' Content type 'application/x-gzip' length 1121441 bytes (1.1 MB) ================================================== downloaded 1.1 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/rgeos_0.5-9.tar.gz' Content type 'application/x-gzip' length 290240 bytes (283 KB) ================================================== downloaded 283 KB trying URL 'https://cloud.r-project.org/src/contrib/sp_1.4-7.tar.gz' Content type 'application/x-gzip' length 1424284 bytes (1.4 MB) ================================================== downloaded 1.4 MB trying URL 'https://cloud.r-project.org/src/contrib/future.apply_1.9.0.tar.gz' Content type 'application/x-gzip' length 64200 bytes (62 KB) ================================================== downloaded 62 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/ggplot2_3.3.6.tar.gz' Content type 'application/x-gzip' length 3061989 bytes (2.9 MB) ================================================== downloaded 2.9 MB trying URL 'https://cloud.r-project.org/src/contrib/dplyr_1.0.9.tar.gz' Content type 'application/x-gzip' length 957637 bytes (935 KB) ================================================== downloaded 935 KB trying URL 'https://cloud.r-project.org/src/contrib/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/httr_1.4.3.tar.gz' Content type 'application/x-gzip' length 161122 bytes (157 KB) ================================================== downloaded 157 KB trying URL 'https://cloud.r-project.org/src/contrib/knitr_1.39.tar.gz' Content type 'application/x-gzip' length 898418 bytes (877 KB) ================================================== downloaded 877 KB trying URL 'https://cloud.r-project.org/src/contrib/rmarkdown_2.14.tar.gz' Content type 'application/x-gzip' length 3241807 bytes (3.1 MB) ================================================== downloaded 3.1 MB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/SummarizedExperiment_1.26.1.tar.gz' Content type 'application/x-gzip' length 1525116 bytes (1.5 MB) ================================================== downloaded 1.5 MB trying URL 'https://cloud.r-project.org/src/contrib/SeuratObject_4.1.0.tar.gz' Content type 'application/x-gzip' length 188875 bytes (184 KB) ================================================== downloaded 184 KB trying URL 'https://cloud.r-project.org/src/contrib/leiden_0.3.10.tar.gz' Content type 'application/x-gzip' length 3169873 bytes (3.0 MB) ================================================== downloaded 3.0 MB 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/testthat_3.1.4.tar.gz' Content type 'application/x-gzip' length 700919 bytes (684 KB) ================================================== downloaded 684 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/SingleCellExperiment_1.18.0.tar.gz' Content type 'application/x-gzip' length 938945 bytes (916 KB) ================================================== downloaded 916 KB trying URL 'https://cloud.r-project.org/src/contrib/Seurat_4.1.1.tar.gz' Content type 'application/x-gzip' length 1427419 bytes (1.4 MB) ================================================== downloaded 1.4 MB 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 trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/BiocStyle_2.24.0.tar.gz' Content type 'application/x-gzip' length 756701 bytes (738 KB) ================================================== downloaded 738 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/viper_1.30.0.tar.gz' Content type 'application/x-gzip' length 314905 bytes (307 KB) ================================================== downloaded 307 KB trying URL 'https://bioconductor.org/packages/3.15/data/experiment/src/contrib/bcellViper_1.32.0.tar.gz' Content type 'application/x-gzip' length 11785648 bytes (11.2 MB) ================================================== downloaded 11.2 MB * installing *source* package ‘cli’ ... ** package ‘cli’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ansi.c -o ansi.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c cleancall.c -o cleancall.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c diff.c -o diff.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c errors.c -o errors.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c md5.c -o md5.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c progress-altrep.c -o progress-altrep.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c progress.c -o progress.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sha256.c -o sha256.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c thread.c -o thread.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c tty.c -o tty.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c utf8.c -o utf8.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c win-utf8.c -o win-utf8.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c winfiles.c -o winfiles.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o cli.so ansi.o cleancall.o diff.o errors.o init.o md5.o progress-altrep.o progress.o sha256.o thread.o tty.o utf8.o win-utf8.o winfiles.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-cli/00new/cli/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package ‘tibble’ ... ** package ‘tibble’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c attributes.c -o attributes.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c coerce.c -o coerce.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c matrixToDataFrame.c -o matrixToDataFrame.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-tibble/00new/tibble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibble) * installing *source* package ‘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 ‘BiocGenerics’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘append’ in package ‘BiocGenerics’ Creating a new generic function for ‘as.data.frame’ in package ‘BiocGenerics’ Creating a new generic function for ‘cbind’ in package ‘BiocGenerics’ Creating a new generic function for ‘rbind’ in package ‘BiocGenerics’ Creating a new generic function for ‘do.call’ in package ‘BiocGenerics’ Creating a new generic function for ‘duplicated’ in package ‘BiocGenerics’ Creating a new generic function for ‘anyDuplicated’ in package ‘BiocGenerics’ Creating a new generic function for ‘eval’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmax’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmin’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmax.int’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmin.int’ in package ‘BiocGenerics’ Creating a new generic function for ‘Reduce’ in package ‘BiocGenerics’ Creating a new generic function for ‘Filter’ in package ‘BiocGenerics’ Creating a new generic function for ‘Find’ in package ‘BiocGenerics’ Creating a new generic function for ‘Map’ in package ‘BiocGenerics’ Creating a new generic function for ‘Position’ in package ‘BiocGenerics’ Creating a new generic function for ‘get’ in package ‘BiocGenerics’ Creating a new generic function for ‘mget’ in package ‘BiocGenerics’ Creating a new generic function for ‘grep’ in package ‘BiocGenerics’ Creating a new generic function for ‘grepl’ in package ‘BiocGenerics’ Creating a new generic function for ‘is.unsorted’ in package ‘BiocGenerics’ Creating a new generic function for ‘lapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘sapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘mapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘match’ in package ‘BiocGenerics’ Creating a new generic function for ‘order’ in package ‘BiocGenerics’ Creating a new generic function for ‘paste’ in package ‘BiocGenerics’ Creating a new generic function for ‘rank’ in package ‘BiocGenerics’ Creating a new generic function for ‘rownames’ in package ‘BiocGenerics’ Creating a new generic function for ‘colnames’ in package ‘BiocGenerics’ Creating a new generic function for ‘union’ in package ‘BiocGenerics’ Creating a new generic function for ‘intersect’ in package ‘BiocGenerics’ Creating a new generic function for ‘setdiff’ in package ‘BiocGenerics’ Creating a new generic function for ‘sort’ in package ‘BiocGenerics’ Creating a new generic function for ‘table’ in package ‘BiocGenerics’ Creating a new generic function for ‘tapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘unique’ in package ‘BiocGenerics’ Creating a new generic function for ‘unsplit’ in package ‘BiocGenerics’ Creating a new generic function for ‘var’ in package ‘BiocGenerics’ Creating a new generic function for ‘sd’ in package ‘BiocGenerics’ Creating a new generic function for ‘which.min’ in package ‘BiocGenerics’ Creating a new generic function for ‘which.max’ in package ‘BiocGenerics’ Creating a new generic function for ‘IQR’ in package ‘BiocGenerics’ Creating a new generic function for ‘mad’ in package ‘BiocGenerics’ Creating a new generic function for ‘xtabs’ in package ‘BiocGenerics’ Creating a new generic function for ‘basename’ in package ‘BiocGenerics’ Creating a new generic function for ‘dirname’ in package ‘BiocGenerics’ ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocGenerics) * installing *source* package ‘MatrixGenerics’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatrixGenerics) * installing *source* package ‘zlibbioc’ ... ** using staged installation configure: creating ./config.status config.status: creating src/Makevars ** libs mkdir -p "/home/omnipath/local/R/00LOCK-zlibbioc/00new/zlibbioc/include" gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_zlibbioc.c -o R_init_zlibbioc.o R_init_zlibbioc.c:1: warning: ISO C forbids an empty translation unit [-Wpedantic] 1 | /* do not remove */ | gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o zlibbioc.so R_init_zlibbioc.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-zlibbioc/00new/zlibbioc/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zlibbioc) * installing *source* package ‘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 ‘sp’ ... ** package ‘sp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Rcentroid.c -o Rcentroid.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c gcdist.c -o gcdist.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c pip.c -o pip.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c pip2.c -o pip2.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sp_xports.c -o sp_xports.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c surfaceArea.c -o surfaceArea.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c zerodist.c -o zerodist.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o sp.so Rcentroid.o gcdist.o init.o pip.o pip2.o sp_xports.o surfaceArea.o zerodist.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-sp/00new/sp/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sp) * installing *source* package ‘gplots’ ... ** package ‘gplots’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gplots) * installing *source* package ‘httr’ ... ** package ‘httr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr) * installing *source* package ‘knitr’ ... ** package ‘knitr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitr) * installing *source* package ‘leiden’ ... ** package ‘leiden’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leiden) * installing *source* package ‘BiocManager’ ... ** package ‘BiocManager’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocManager) * installing *source* package ‘S4Vectors’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c AEbufs.c -o AEbufs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c DataFrame_class.c -o DataFrame_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Hits_class.c -o Hits_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c LLint_class.c -o LLint_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c List_class.c -o List_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_S4Vectors.c -o R_init_S4Vectors.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Rle_class.c -o Rle_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Rle_utils.c -o Rle_utils.o Rle_utils.c: In function ‘Rle_real_runq’: Rle_utils.c:701:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 701 | if (count_na != 0) | ^~ Rle_utils.c:703:6: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 703 | q_index = roundingScale(window_len_na, | ^~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SEXP_utils.c -o SEXP_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SimpleList_class.c -o SimpleList_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c anyMissing.c -o anyMissing.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c character_utils.c -o character_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c eval_utils.c -o eval_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c hash_utils.c -o hash_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c integer_utils.c -o integer_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c logical_utils.c -o logical_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c map_ranges_to_runs.c -o map_ranges_to_runs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c raw_utils.c -o raw_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c safe_arithm.c -o safe_arithm.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sort_utils.c -o sort_utils.o sort_utils.c:263:13: warning: ‘sort_uchar_array’ defined but not used [-Wunused-function] 263 | static void sort_uchar_array(unsigned char *x, int nelt, int desc) | ^~~~~~~~~~~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c subsetting_utils.c -o subsetting_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c vector_utils.c -o vector_utils.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o S4Vectors.so AEbufs.o DataFrame_class.o Hits_class.o LLint_class.o List_class.o R_init_S4Vectors.o Rle_class.o Rle_utils.o SEXP_utils.o SimpleList_class.o anyMissing.o character_utils.o eval_utils.o hash_utils.o integer_utils.o logical_utils.o map_ranges_to_runs.o raw_utils.o safe_arithm.o sort_utils.o subsetting_utils.o vector_utils.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-S4Vectors/00new/S4Vectors/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for ‘normalizeSingleBracketReplacementValue’ with signature ‘"List"’: no definition for class “List” Creating a new generic function for ‘unname’ in package ‘S4Vectors’ Creating a new generic function for ‘expand.grid’ in package ‘S4Vectors’ Creating a new generic function for ‘findMatches’ in package ‘S4Vectors’ Creating a generic function for ‘setequal’ from package ‘base’ in package ‘S4Vectors’ in method for ‘coerce’ with signature ‘"Hits","DFrame"’: no definition for class “DFrame” Creating a generic function for ‘as.factor’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘tabulate’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘cov’ from package ‘stats’ in package ‘S4Vectors’ Creating a generic function for ‘cor’ from package ‘stats’ in package ‘S4Vectors’ Creating a generic function for ‘smoothEnds’ from package ‘stats’ in package ‘S4Vectors’ Creating a generic function for ‘runmed’ from package ‘stats’ in package ‘S4Vectors’ Creating a generic function for ‘nchar’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘substr’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘substring’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘chartr’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘tolower’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘toupper’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘sub’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘gsub’ from package ‘base’ in package ‘S4Vectors’ Creating a generic function for ‘nlevels’ from package ‘base’ in package ‘S4Vectors’ in method for ‘coerce’ with signature ‘"data.table","DFrame"’: no definition for class “data.table” Creating a generic function for ‘complete.cases’ from package ‘stats’ in package ‘S4Vectors’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (S4Vectors) * installing *source* package ‘Biobase’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Rinit.c -o Rinit.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c anyMissing.c -o anyMissing.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c envir.c -o envir.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c matchpt.c -o matchpt.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rowMedians.c -o rowMedians.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sublist_extract.c -o sublist_extract.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o Biobase.so Rinit.o anyMissing.o envir.o matchpt.o rowMedians.o sublist_extract.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-Biobase/00new/Biobase/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Biobase) * installing *source* package ‘rgeos’ ... ** package ‘rgeos’ successfully unpacked and MD5 sums checked ** using staged installation configure: CC: gcc configure: CXX: g++ -std=gnu++14 configure: rgeos: 0.5-9 checking for /usr/bin/svnversion... yes configure: svn revision: 684 checking for geos-config... /usr/bin/geos-config checking geos-config usability... yes configure: GEOS version: 3.8.0 checking geos version at least 3.2.0... yes checking geos-config clibs... yes checking geos_c.h presence and usability... yes checking geos: linking with libgeos_c... yes configure: PKG_CPPFLAGS: -I/usr/include configure: PKG_LIBS: -L/usr/lib/x86_64-linux-gnu -lgeos_c configure: creating ./config.status config.status: creating src/Makevars ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -Wall -pedantic -c dummy.cc -o dummy.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c local_stubs.c -o local_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos.c -o rgeos.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_R2geos.c -o rgeos_R2geos.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_R2geosMP.c -o rgeos_R2geosMP.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_bbox.c -o rgeos_bbox.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_buffer.c -o rgeos_buffer.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_coord.c -o rgeos_coord.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_geos2R.c -o rgeos_geos2R.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_linearref.c -o rgeos_linearref.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_misc.c -o rgeos_misc.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_poly2nb.c -o rgeos_poly2nb.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_predicate_binary.c -o rgeos_predicate_binary.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_predicate_unary.c -o rgeos_predicate_unary.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_topology.c -o rgeos_topology.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_topology_binary.c -o rgeos_topology_binary.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_validate.c -o rgeos_validate.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/include -I'/home/omnipath/local/R/sp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rgeos_wkt.c -o rgeos_wkt.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o rgeos.so dummy.o init.o local_stubs.o rgeos.o rgeos_R2geos.o rgeos_R2geosMP.o rgeos_bbox.o rgeos_buffer.o rgeos_coord.o rgeos_geos2R.o rgeos_linearref.o rgeos_misc.o rgeos_poly2nb.o rgeos_predicate_binary.o rgeos_predicate_unary.o rgeos_topology.o rgeos_topology_binary.o rgeos_validate.o rgeos_wkt.o -L/usr/lib/x86_64-linux-gnu -lgeos_c -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-rgeos/00new/rgeos/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgeos) * installing *source* package ‘future’ ... ** package ‘future’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future) * installing *source* package ‘ggplot2’ ... ** package ‘ggplot2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggplot2) * installing *source* package ‘dplyr’ ... ** package ‘dplyr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c chop.cpp -o chop.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c filter.cpp -o filter.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c funs.cpp -o funs.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c group_by.cpp -o group_by.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c group_data.cpp -o group_data.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c imports.cpp -o imports.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c init.cpp -o init.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c mask.cpp -o mask.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c mutate.cpp -o mutate.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c slice.cpp -o slice.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c summarise.cpp -o summarise.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o slice.o summarise.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-dplyr/00new/dplyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dplyr) * installing *source* package ‘rmarkdown’ ... ** package ‘rmarkdown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) * installing *source* package ‘testthat’ ... ** package ‘testthat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c reassign.c -o reassign.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-catch.cpp -o test-catch.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-example.cpp -o test-example.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-runner.cpp -o test-runner.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) * installing *source* package ‘IRanges’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c CompressedAtomicList_utils.c -o CompressedAtomicList_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c CompressedIRangesList_class.c -o CompressedIRangesList_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c CompressedList_class.c -o CompressedList_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Grouping_class.c -o Grouping_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c IPosRanges_comparison.c -o IPosRanges_comparison.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c IRanges_class.c -o IRanges_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c IRanges_constructor.c -o IRanges_constructor.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c NCList.c -o NCList.o NCList.c:1173:13: warning: ‘NCList_get_y_overlaps_rec’ defined but not used [-Wunused-function] 1173 | static void NCList_get_y_overlaps_rec(const NCList *x_nclist, | ^~~~~~~~~~~~~~~~~~~~~~~~~ NCList.c:202:22: warning: ‘next_top_down’ defined but not used [-Wunused-function] 202 | static const NCList *next_top_down(const NCList *nclist) | ^~~~~~~~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_IRanges.c -o R_init_IRanges.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Ranges_class.c -o Ranges_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c RleViews_utils.c -o RleViews_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SimpleIRangesList_class.c -o SimpleIRangesList_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c coverage_methods.c -o coverage_methods.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c extractListFragments.c -o extractListFragments.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c inter_range_methods.c -o inter_range_methods.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o IRanges.so CompressedAtomicList_utils.o CompressedIRangesList_class.o CompressedList_class.o Grouping_class.o IPosRanges_comparison.o IRanges_class.o IRanges_constructor.o NCList.o R_init_IRanges.o Ranges_class.o RleViews_utils.o S4Vectors_stubs.o SimpleIRangesList_class.o coverage_methods.o extractListFragments.o inter_range_methods.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-IRanges/00new/IRanges/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘drop’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘runmed’ from package ‘stats’ in package ‘IRanges’ Creating a generic function for ‘chartr’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘toupper’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘tolower’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘sub’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘gsub’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘startsWith’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘endsWith’ from package ‘base’ in package ‘IRanges’ Creating a generic function for ‘smoothEnds’ from package ‘stats’ in package ‘IRanges’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (IRanges) * installing *source* package ‘future.apply’ ... ** package ‘future.apply’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.apply) * installing *source* package ‘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 ‘BiocStyle’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocStyle) * installing *source* package ‘viper’ ... ** 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 (viper) * installing *source* package ‘bcellViper’ ... ** using staged installation ** data ** inst ** 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 (bcellViper) * installing *source* package ‘XVector’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c IRanges_stubs.c -o IRanges_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c Ocopy_byteblocks.c -o Ocopy_byteblocks.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c RDS_random_access.c -o RDS_random_access.o RDS_random_access.c: In function ‘RDS_extract_subarray’: RDS_random_access.c:796:18: warning: unused variable ‘ans’ [-Wunused-variable] 796 | SEXP subscript, ans; | ^~~ RDS_random_access.c:793:11: warning: variable ‘x_type’ set but not used [-Wunused-but-set-variable] 793 | SEXPTYPE x_type; | ^~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_XVector.c -o R_init_XVector.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SharedDouble_class.c -o SharedDouble_class.o SharedDouble_class.c: In function ‘SharedDouble_get_show_string’: SharedDouble_class.c:42:68: warning: format ‘%p’ expects argument of type ‘void *’, but argument 5 has type ‘double *’ [-Wformat=] 42 | "%d-number SharedDouble object (data starting at memory address %p)", | ~^ | | | void * 43 | tag_length, REAL(tag)); | ~~~~~~~~~ | | | double * gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SharedInteger_class.c -o SharedInteger_class.o SharedInteger_class.c: In function ‘SharedInteger_get_show_string’: SharedInteger_class.c:41:70: warning: format ‘%p’ expects argument of type ‘void *’, but argument 5 has type ‘int *’ [-Wformat=] 41 | "%d-integer SharedInteger object (data starting at memory address %p)", | ~^ | | | void * | %ls 42 | tag_length, INTEGER(tag)); | ~~~~~~~~~~~~ | | | int * gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SharedRaw_class.c -o SharedRaw_class.o SharedRaw_class.c: In function ‘SharedRaw_read_complexes_from_subscript’: SharedRaw_class.c:396:13: warning: variable ‘src_tag’ set but not used [-Wunused-but-set-variable] 396 | SEXP dest, src_tag; | ^~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SharedVector_class.c -o SharedVector_class.o SharedVector_class.c: In function ‘address_as_CHARSXP’: SharedVector_class.c:22:31: warning: format ‘%p’ expects argument of type ‘void *’, but argument 4 has type ‘SEXP’ {aka ‘struct SEXPREC *’} [-Wformat=] 22 | snprintf(buf, sizeof(buf), "%p", x); | ~^ ~ | | | | | SEXP {aka struct SEXPREC *} | void * gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XDouble_class.c -o XDouble_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XInteger_class.c -o XInteger_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XRawList_comparison.c -o XRawList_comparison.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XRaw_class.c -o XRaw_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XVectorList_class.c -o XVectorList_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c XVector_class.c -o XVector_class.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c io_utils.c -o io_utils.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c slice_methods.c -o slice_methods.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c vector_copy.c -o vector_copy.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c view_summarization_methods.c -o view_summarization_methods.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o XVector.so IRanges_stubs.o Ocopy_byteblocks.o RDS_random_access.o R_init_XVector.o S4Vectors_stubs.o SharedDouble_class.o SharedInteger_class.o SharedRaw_class.o SharedVector_class.o XDouble_class.o XInteger_class.o XRawList_comparison.o XRaw_class.o XVectorList_class.o XVector_class.o io_utils.o slice_methods.o vector_copy.o view_summarization_methods.o -lz -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-XVector/00new/XVector/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (XVector) * installing *source* package ‘GenomeInfoDb’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GenomeInfoDb) * installing *source* package ‘DelayedArray’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_DelayedArray.c -o R_init_DelayedArray.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c abind.c -o abind.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c array_selection.c -o array_selection.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c compress_atomic_vector.c -o compress_atomic_vector.o compress_atomic_vector.c: In function ‘C_encode_atomic_vector’: compress_atomic_vector.c:66:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized] 66 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_decode_atomic_vector’: compress_atomic_vector.c:73:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized] 73 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_compress_atomic_vector’: compress_atomic_vector.c:85:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized] 85 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_decompress_atomic_vector’: compress_atomic_vector.c:92:9: warning: ‘ans’ is used uninitialized in this function [-Wuninitialized] 92 | return ans; | ^~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sparseMatrix_utils.c -o sparseMatrix_utils.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o DelayedArray.so R_init_DelayedArray.o S4Vectors_stubs.o abind.o array_selection.o compress_atomic_vector.o sparseMatrix_utils.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-DelayedArray/00new/DelayedArray/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘rowsum’ in package ‘DelayedArray’ Creating a new generic function for ‘aperm’ in package ‘DelayedArray’ Creating a new generic function for ‘apply’ in package ‘DelayedArray’ Creating a new generic function for ‘sweep’ in package ‘DelayedArray’ Creating a new generic function for ‘scale’ in package ‘DelayedArray’ Creating a generic function for ‘dnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘ppois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dlogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘plogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qlogis’ from package ‘stats’ in package ‘DelayedArray’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DelayedArray) * installing *source* package ‘SeuratObject’ ... ** package ‘SeuratObject’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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] /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/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = 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::SparseMatrix; 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::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ RcppExports.cpp:20:59: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/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: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:32:92: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [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; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:125:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:32:92: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c data_manipulation.cpp -o data_manipulation.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.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 >’ data_manipulation.cpp:27:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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’ data_manipulation.cpp:33:26: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 data_manipulation.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’ data_manipulation.cpp:33:26: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /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’ data_manipulation.cpp:83:95: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ data_manipulation.cpp: In function ‘Eigen::SparseMatrix RowMergeMatricesList(Rcpp::List, Rcpp::List, std::vector >)’: data_manipulation.cpp:102:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | for(int j = 0; j < mat_vec.size(); j++) { | ~~^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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: 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:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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; Eigen::Index = long int]’ data_manipulation.cpp:93:38: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /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::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:27:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:111:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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; Eigen::Index = long int]’ data_manipulation.cpp:93:38: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c valid_pointer.c -o valid_pointer.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o SeuratObject.so RcppExports.o data_manipulation.o valid_pointer.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-SeuratObject/00new/SeuratObject/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SeuratObject) * installing *source* package ‘GenomicRanges’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c IRanges_stubs.c -o IRanges_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c R_init_GenomicRanges.c -o R_init_GenomicRanges.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/home/omnipath/local/R/S4Vectors/include' -I'/home/omnipath/local/R/IRanges/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c transcript_utils.c -o transcript_utils.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o GenomicRanges.so IRanges_stubs.o R_init_GenomicRanges.o S4Vectors_stubs.o transcript_utils.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-GenomicRanges/00new/GenomicRanges/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GenomicRanges) * installing *source* package ‘Seurat’ ... ** package ‘Seurat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c ModularityOptimizer.cpp -o ModularityOptimizer.o In file included from ModularityOptimizer.cpp:23: ModularityOptimizer.h:159:2: warning: extra ‘;’ [-Wpedantic] 159 | }; | ^ ModularityOptimizer.cpp:86:3: warning: extra ‘;’ [-Wpedantic] 86 | {}; | ^ ModularityOptimizer.cpp:165:22: warning: extra ‘;’ [-Wpedantic] 165 | Network::Network() {}; | ^ ModularityOptimizer.cpp: In constructor ‘ModularityOptimizer::Network::Network(int, DVector*, std::vector >&, DVector*)’: ModularityOptimizer.cpp:204:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 204 | for (size_t j = 0; j < edge[0].size(); j++) | ^~~ ModularityOptimizer.cpp:216:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 216 | for (; i <= nNodes; i++) | ^~~ ModularityOptimizer.cpp: In member function ‘ModularityOptimizer::Clustering ModularityOptimizer::Network::identifyComponents()’: ModularityOptimizer.cpp:387:9: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 387 | for (int l = firstNeighborIndex[node[k]]; l < firstNeighborIndex[node[k] + 1]; l++) | ^~~ ModularityOptimizer.cpp:395:11: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 395 | k++; | ^ ModularityOptimizer.cpp:377:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 377 | for (int i = 0; i < nNodes; i++) | ^~~ ModularityOptimizer.cpp:399:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 399 | clustering.orderClustersByNNodes(); | ^~~~~~~~~~ ModularityOptimizer.cpp: In member function ‘ModularityOptimizer::Network ModularityOptimizer::Network::createSubnetwork(const ModularityOptimizer::Clustering&, int, IVector&, IVector&, IVector&, DVector&) const’: ModularityOptimizer.cpp:429:7: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 429 | for (int k = firstNeighborIndex[j]; k < firstNeighborIndex[j + 1]; k++) | ^~~ ModularityOptimizer.cpp:436:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 436 | subnetwork.firstNeighborIndex[i + 1] = subnetwork.nEdges; | ^~~~~~~~~~ ModularityOptimizer.cpp: At global scope: ModularityOptimizer.cpp:453:4: warning: extra ‘;’ [-Wpedantic] 453 | }; | ^ ModularityOptimizer.cpp:458:27: warning: extra ‘;’ [-Wpedantic] 458 | resolution(resolution){}; | ^ ModularityOptimizer.cpp: In member function ‘int ModularityOptimizer::VOSClusteringTechnique::removeCluster(int)’: ModularityOptimizer.cpp:710:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 710 | for (int j = 0; j < clustering->nClusters; j++) | ^~~ ModularityOptimizer.cpp:721:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 721 | if (i >= 0) | ^~ ModularityOptimizer.cpp:723:7: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 723 | for (int j = 0; j < network->nNodes; j++) | ^~~ ModularityOptimizer.cpp:726:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 726 | if (cluster == clustering->nClusters - 1) | ^~ ModularityOptimizer.cpp: In member function ‘void ModularityOptimizer::VOSClusteringTechnique::removeSmallClusters(int)’: ModularityOptimizer.cpp:740:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 740 | for (int k = 0; k < vosClusteringTechnique.clustering->nClusters; k++) | ^~~ ModularityOptimizer.cpp:747:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 747 | if (i >= 0) | ^~ ModularityOptimizer.cpp: In function ‘std::shared_ptr ModularityOptimizer::matrixToNetwork(IVector&, IVector&, DVector&, int, int)’: ModularityOptimizer.cpp:764:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 764 | for (size_t i = 0; i < node1.size(); i++) | ^~~ ModularityOptimizer.cpp:771:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 771 | IVector firstNeighborIndex(nNodes + 1); | ^~~~~~~ ModularityOptimizer.cpp:783:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 783 | for (size_t i = 0; i < node1.size(); i++) | ^~~ ModularityOptimizer.cpp:796:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 796 | if (modularityFunction == 1) | ^~ ModularityOptimizer.cpp:761:7: warning: unused variable ‘n1_max’ [-Wunused-variable] 761 | int n1_max = *std::max_element(node1.cbegin(), node1.cend()); | ^~~~~~ ModularityOptimizer.cpp:762:7: warning: unused variable ‘n2_max’ [-Wunused-variable] 762 | int n2_max = *std::max_element(node2.cbegin(), node2.cend()); | ^~~~~~ g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c RModularityOptimizer.cpp -o RModularityOptimizer.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RModularityOptimizer.cpp:9: /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 RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RModularityOptimizer.cpp:9: /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 RModularityOptimizer.cpp:9: /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 RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RModularityOptimizer.cpp:9: /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 RModularityOptimizer.cpp:13: ModularityOptimizer.h:159:2: warning: extra ‘;’ [-Wpedantic] 159 | }; | ^ RModularityOptimizer.cpp: In function ‘Rcpp::IntegerVector RunModularityClusteringCpp(Eigen::SparseMatrix, int, double, int, int, int, int, bool, std::string)’: RModularityOptimizer.cpp:163:5: warning: this ‘else’ clause does not guard... [-Wmisleading-indentation] 163 | else | ^~~~ RModularityOptimizer.cpp:165:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘else’ 165 | Rprintf("Number of communities: %d\n", clustering->getNClusters()); | ^~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RModularityOptimizer.cpp:9: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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; Eigen::Index = long int]’ RModularityOptimizer.cpp:65:38: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::SparseMatrix; Eigen::Index = long int]’ RModularityOptimizer.cpp:65:38: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 RcppExports.cpp:4: /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 RcppExports.cpp:4: /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’ RcppExports.cpp:71:105: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 >’ RcppExports.cpp:94:67: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 RcppExports.cpp:4: /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 >’ RcppExports.cpp:94:67: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 >’ RcppExports.cpp:94:67: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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’ RcppExports.cpp:169:67: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = 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::SparseMatrix; 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::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ RcppExports.cpp:29:174: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = 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::SparseMatrix; 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::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:774:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 1; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:709:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 1; _StorageIndex = int]’ RcppExports.cpp:71:105: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/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: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:43:94: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [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; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:125:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenWrap.h:155:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ /opt/R-rc/lib/R/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ RcppExports.cpp:43:94: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c data_manipulation.cpp -o data_manipulation.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 data_manipulation.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 data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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’ data_manipulation.cpp:18:21: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 data_manipulation.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’ data_manipulation.cpp:18:21: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /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 >’ data_manipulation.cpp:18:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 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 >’ data_manipulation.cpp:18:83: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, Eigen::Matrix >, 0>’ data_manipulation.cpp:18:83: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /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’ data_manipulation.cpp:75:127: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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 >’ data_manipulation.cpp:131:88: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 >’ data_manipulation.cpp:131:88: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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’ data_manipulation.cpp:136:20: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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>’ data_manipulation.cpp:136:33: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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> >’ data_manipulation.cpp:136:41: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::Array, 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::Array, 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::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:138:32: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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, 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::Array, 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::Array, 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::Array, 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::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:138:32: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::Array, 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::Array, 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::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ data_manipulation.cpp:138:48: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ data_manipulation.cpp:186:52: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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>’ data_manipulation.cpp:187:21: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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 >’ data_manipulation.cpp:187:36: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::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 >, 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 >, 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 >, 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 >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:187:40: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 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::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ data_manipulation.cpp:187:51: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/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 >’ data_manipulation.cpp:194:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 0>’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, -1, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /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::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::Replicate, Eigen::internal::member_mean, 0>, -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, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -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, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /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::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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 >’ data_manipulation.cpp:231:38: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(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>’ data_manipulation.cpp:231:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 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::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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: 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: 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>’ data_manipulation.cpp:368:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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> >’ data_manipulation.cpp:368:39: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/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; Eigen::Index = long int]’ data_manipulation.cpp:95:37: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, -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: 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: 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/CommaInitializer.h:95:64: required from ‘Eigen::CommaInitializer& Eigen::CommaInitializer::operator,(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ data_manipulation.cpp:249:17: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:110:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(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::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /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::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ data_manipulation.cpp:150:23: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 data_manipulation.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: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:89: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; 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::Array; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:10: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ data_manipulation.cpp:137:29: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ data_manipulation.cpp:138:54: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/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/Core/AssignEvaluator.h:829:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, 1, -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::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /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::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType]’ data_manipulation.cpp:368:39: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:69: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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; Eigen::Index = long int]’ data_manipulation.cpp:95:37: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-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 data_manipulation.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:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -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 >, -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/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, -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::Array; SrcXprType = Eigen::ArrayWrapper >, -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::Array; Src = Eigen::ArrayWrapper >, -1, 1, true> >; 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::ArrayWrapper >, -1, 1, true> >; Derived = Eigen::Array]’ /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::ArrayWrapper >, -1, 1, true> >; Derived = Eigen::Array]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, -1, 1, true> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType]’ data_manipulation.cpp:136:41: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; 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>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; 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>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ /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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, true>]’ data_manipulation.cpp:187:51: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base >, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator >, 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/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::ArrayWrapper >, 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::Transpose >; SrcXprType = Eigen::ArrayWrapper >, 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::Array; Src = Eigen::ArrayWrapper >, 1, -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::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /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::ArrayWrapper >, 1, -1, false> >; Derived = Eigen::Array]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:242:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper >, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::PrivateType>::type = Eigen::Array::PrivateType]’ data_manipulation.cpp:368:39: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:7: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:7: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:40: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; Eigen::internal::sparse_matrix_block_impl::BlockType = Eigen::Block, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ data_manipulation.cpp:409:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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/CoreEvaluators.h:131:44: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -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::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::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::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::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::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::Matrix; Derived = Eigen::Block, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:95:64: required from ‘Eigen::CommaInitializer& Eigen::CommaInitializer::operator,(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ data_manipulation.cpp:249:17: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:106:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:301:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:353:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:485:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; 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::Transpose >; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::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 = 1; 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::Transpose >; 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::Transpose >, 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::Transpose >; 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::Transpose >; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::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 = 1; 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::Transpose >; 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::Transpose >, 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::Transpose >; 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::Transpose >; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/GeneralMatrixMatrix.h:196:15: 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 = 1; 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::Transpose >; 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::Transpose >, 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::Transpose >; 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::Transpose >; Rhs = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::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 data_manipulation.cpp:1: /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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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:578:40: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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, 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, true> >, 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, true> >, 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, true> >, 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, true> >, 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::Transpose >; 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 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 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, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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, 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, true> >, 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, true> >, 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, true> >, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, 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, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:10: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1: required from ‘ResultType Eigen::internal::member_mean::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_mean; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, 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::Transpose >, 1, -1, true> >, 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::Transpose >, 1, -1, true> >, 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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; 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: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, 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::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; 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::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:231:70: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::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:468:10: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:105:1: required from ‘ResultType Eigen::internal::member_mean::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_mean; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ data_manipulation.cpp:229:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c fast_NN_dist.cpp -o fast_NN_dist.o fast_NN_dist.cpp: In function ‘Rcpp::List fast_dist(Rcpp::NumericMatrix, Rcpp::NumericMatrix, Rcpp::List)’: fast_NN_dist.cpp:37:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 37 | if (x.nrow() != ngraph_size) { return List(); } | ~~~~~~~~~^~~~~~~~~~~~~~ fast_NN_dist.cpp:51:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 51 | for (size_t j=0; j 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 integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 integration.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 integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 integration.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 integration.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 integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 integration.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 integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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’ integration.cpp:23:1: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 integration.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’ integration.cpp:23:1: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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’ integration.cpp:23:1: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] integration.cpp: In function ‘Eigen::SparseMatrix FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)’: integration.cpp:29:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29 | for(int i=0; i, 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: 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: 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>’ integration.cpp:43:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ integration.cpp:48:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(int j=0; j > >’: /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 >’ integration.cpp:60:54: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::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 >’ integration.cpp:60:99: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, 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::CwiseNullaryOp, Eigen::Matrix >, 0>’ integration.cpp:60:99: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(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 >’ integration.cpp:68:121: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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, 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, 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, Eigen::internal::member_sum, 0>’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ integration.cpp:83:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ integration.cpp:94:85: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: /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::Product >, Eigen::SparseMatrix, 2>, 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::Product >, Eigen::SparseMatrix, 2> >’ integration.cpp:94:85: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] integration.cpp: In function ‘std::vector ScoreHelper(Eigen::SparseMatrix, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, int, bool, bool)’: integration.cpp:125:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | if (k_snn_i > nonzero_order.size()) k_snn_i = nonzero_order.size(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ integration.cpp:126:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int j = 0; j < nonzero_order.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~ integration.cpp:129:26: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 129 | if(bw_dists.size() < k_snn_i || nonzero[nonzero_order[j]] == nonzero[nonzero_order[k_snn_i-1]]) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -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>’ integration.cpp:130:41: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ integration.cpp:130:60: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] integration.cpp:138:25: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 138 | if (bw_dists.size() > k_snn_i) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:83:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:103: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:94:85: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /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:926:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:59:123: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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; 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::SparseMatrix; Eigen::Index = long int]’ integration.cpp:62:73: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double]’ integration.cpp:130:68: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1012:103: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&, DupFunctor) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; DupFunctor = FindWeightsC(Rcpp::NumericVector, Eigen::MatrixXd, std::vector >, std::vector >, Eigen::MatrixXd, Eigen::VectorXd, double, double, bool)::; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:59:123: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(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::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /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::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ integration.cpp:83:42: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/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/Core/AssignEvaluator.h:829:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -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, 1, -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, 1, -1, false>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:43:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -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::Block, -1, 1, true>, 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::Block, -1, 1, true>, 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::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double]’ integration.cpp:130:68: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::Transpose >; 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::Transpose >; 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::Matrix; Src = Eigen::Block, 1, -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, 1, -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, 1, -1, false>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:43:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [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; 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::SparseMatrix; Eigen::Index = long int]’ integration.cpp:62:73: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, 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:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; 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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::NumTraits::Scalar>::Real = double]’ integration.cpp:130:68: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -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]’ /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, -1, 1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, 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, 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, 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, 1, -1, false>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from integration.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [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]’ /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, -1, 1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; 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::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ integration.cpp:77:58: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c snn.cpp -o snn.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { 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 snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /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 snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 snn.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 snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 snn.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 snn.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 snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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 snn.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 snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /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’ snn.cpp:16:79: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 snn.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’ snn.cpp:16:79: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /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 >’ snn.cpp:27:30: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ snn.cpp:27:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] snn.cpp: In function ‘std::vector SNN_SmallestNonzero_Dist(Eigen::SparseMatrix, Eigen::MatrixXd, int, std::vector)’: snn.cpp:99:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | if (n_i > nonzero_order.size()) n_i = nonzero_order.size(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~ snn.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int j = 0; j < nonzero_order.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~ snn.cpp:105:23: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 105 | if(dists.size() < n_i || nonzero[nonzero_order[j]] == nonzero[nonzero_order[n_i-1]]) { | ~~~~~~~~~~~~~^~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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: 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: 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>’ snn.cpp:106:35: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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>, 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>, 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>, 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::Block, 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::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ snn.cpp:106:48: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] snn.cpp:117:22: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 117 | if (dists.size() > n_i) { | ~~~~~~~~~~~~~^~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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: 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:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /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:926:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:26:61: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 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; 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::SparseMatrix; Eigen::Index = long int]’ snn.cpp:29:62: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::CwiseBinaryOp, const Eigen::Block, 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::CwiseBinaryOp, const Eigen::Block, 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double]’ snn.cpp:106:56: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__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/SparseMatrix.h:1067:99: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = Eigen::internal::scalar_sum_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:26:61: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(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::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = int]’ /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::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:5: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ snn.cpp:27:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 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::Block, 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::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 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::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 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: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 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/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; 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::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double]’ snn.cpp:106:56: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from snn.cpp:1: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [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; 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::SparseMatrix; Eigen::Index = long int]’ snn.cpp:29:62: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -Wall -pedantic -c stats.cpp -o stats.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I'/opt/R-rc/lib/R/library/RcppProgress/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c valid_pointer.c -o valid_pointer.o g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o Seurat.so ModularityOptimizer.o RModularityOptimizer.o RcppExports.o data_manipulation.o fast_NN_dist.o integration.o snn.o stats.o valid_pointer.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-Seurat/00new/Seurat/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Seurat) * installing *source* package ‘SummarizedExperiment’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SummarizedExperiment) * installing *source* package ‘SingleCellExperiment’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SingleCellExperiment) The downloaded source packages are in ‘/tmp/RtmpU1D8rv/downloaded_packages’ [ Finished: 2022-05-04 13:06:04 ]